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The Operating System for Execution

Discussion | Link

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Claro runs the AI agents that operate on your data

Discussion | Link

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Self-hosted, AI-powered second brain for Android

Discussion | Link

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Real-time AI for sales that guides every deal

Discussion | Link

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The AI-powered platform built for professional K9 teams

Discussion | Link

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Daily AI phone conversations for seniors, 24/7

Discussion | Link

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Enable high-risk industries w/ AI-led XR training solutions

Discussion | Link

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Manage cases, audit contracts, and stay legally current

Discussion | Link

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Transforming Homecare, Everywhere!

Discussion | Link

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AI-native Decision Intelligence for renewable investments

Discussion | Link

", "created_at_ts": 1776300155, "first_seen_ts": 1776749982, "score": 60, "raw_json": "{\"title\": \"Wavelr\", \"link\": \"https://www.producthunt.com/products/wavelr\", \"pub\": \"2026-04-15T17:42:35-07:00\"}", "personas": "", "enriched_at_ts": 1776752999, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": null, "website_url": "https://www.wavelr.com/?ref=producthunt", "email": "invest@wavelr.com", "company_name": null, "intent_signals": null, "qualified_at_ts": 1776753019, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "PH launch with public contact. Standard 24-48h outreach window.", "qualification_score": 30 }, { "id": "ph:mav9", "source": "product_hunt", "signal_type": "launch", "title": "Mav9", "url": "https://www.producthunt.com/products/mav9", "author": "Rajiv Ayyangar", "external_url": "https://www.producthunt.com/products/mav9", "description": "

Time to allocate capital

Discussion | Link

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Here is a video of how it works: https://www.loom.com/share/5e558204885e4264a34d2cf6bd488117

I initially built ctx because I wanted to try a workstream that I started on Claude and continue it from Codex. Since then, I\\u2019ve added a few quality of life improvements, including the ability to search across previous workstreams, manually delete parts of the context with, and branch off existing workstreams.. I\\u2019ve started using ctx instead of the native \\u2018/resume\\u2019 in Claude/Codex because I often have a lot of sessions going at once, and with the lists that these apps currently give, it\\u2019s not always obvious which one is the right one to pick back up. ctx gives me a much clearer way to organize and return to the sessions that actually matter.

It\\u2019s simple to install after you clone the repo with one line: ./setup.sh, which adds the skill to both Claude Code and Codex. After that, you should be able to directly use ctx in your agent as a skill with \\u2018/ctx [command]\\u2019 in Claude and \\u2018ctx [command]\\u2019 in Codex.

A few things it does:

- Resume an existing workstream from either tool

- Pull existing context into a new workstream

- Keep stable transcript binding, so once a workstream is linked to a Claude or Codex conversation, it keeps following that exact session instead of drifting to whichever transcript file is newest

- Search for relevant workstreams

- Branch from existing context to explore different tasks in parallel

It\\u2019s intentionally local-first: SQLite, no API keys, and no hosted backend. I built it mainly for myself, but thought it would be cool to share with the HN community.\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: Ctx \\u2013 a /resume that works across Claude Code and Codex\"}, \"url\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"https://github.com/dchu917/ctx\"}}, \"_tags\": [\"story\", \"author_dchu17\", \"story_47836740\", \"show_hn\"], \"author\": \"dchu17\", \"created_at\": \"2026-04-20T16:35:05Z\", \"created_at_i\": 1776702905, \"num_comments\": 0, \"objectID\": \"47836740\", \"points\": 4, \"story_id\": 47836740, \"story_text\": \"ctx is a local SQLite-backed skill for Claude Code and Codex that stores context as a persistent workstream that can be continued across agent sessions. Each workstream can contain multiple sessions, notes, decisions, todos, and resume packs. It essentially functions as a /resume that can work across coding agents.

Here is a video of how it works: https://www.loom.com/share/5e558204885e4264a34d2cf6bd488117

I initially built ctx because I wanted to try a workstream that I started on Claude and continue it from Codex. Since then, I\\u2019ve added a few quality of life improvements, including the ability to search across previous workstreams, manually delete parts of the context with, and branch off existing workstreams.. I\\u2019ve started using ctx instead of the native \\u2018/resume\\u2019 in Claude/Codex because I often have a lot of sessions going at once, and with the lists that these apps currently give, it\\u2019s not always obvious which one is the right one to pick back up. ctx gives me a much clearer way to organize and return to the sessions that actually matter.

It\\u2019s simple to install after you clone the repo with one line: ./setup.sh, which adds the skill to both Claude Code and Codex. After that, you should be able to directly use ctx in your agent as a skill with \\u2018/ctx [command]\\u2019 in Claude and \\u2018ctx [command]\\u2019 in Codex.

A few things it does:

- Resume an existing workstream from either tool

- Pull existing context into a new workstream

- Keep stable transcript binding, so once a workstream is linked to a Claude or Codex conversation, it keeps following that exact session instead of drifting to whichever transcript file is newest

- Search for relevant workstreams

- Branch from existing context to explore different tasks in parallel

It\\u2019s intentionally local-first: SQLite, no API keys, and no hosted backend. I built it mainly for myself, but thought it would be cool to share with the HN community.\", \"title\": \"Show HN: Ctx \\u2013 a /resume that works across Claude Code and Codex\", \"updated_at\": \"2026-04-21T04:46:32Z\", \"url\": \"https://github.com/dchu917/ctx\"}", "personas": "", "enriched_at_ts": 1776752822, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": "dchu917", "website_url": null, "email": "davidchu917@gmail.com", "company_name": null, "intent_signals": null, "qualified_at_ts": 1776752908, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "HN launch 13h ago. Founder still in launch window.", "qualification_score": 20 }, { "id": "ph:let-s-barter", "source": "product_hunt", "signal_type": "launch", "title": "Let's Barter", "url": "https://www.producthunt.com/products/let-s-barter", "author": "Yash Gupta", "external_url": "https://www.producthunt.com/products/let-s-barter", "description": "

Why buy when you can Barter?

Discussion | Link

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Standard 24-48h outreach window.", "qualification_score": 10 }, { "id": "devto:3528846", "source": "devto", "signal_type": "content", "title": "The Engineering Capacity Trap: Why Custom Page Builders Stall Product Roadmaps and Drain Engineering Resources", "url": "https://dev.to/jasonbiondo/the-engineering-capacity-trap-why-custom-page-builders-stall-product-roadmaps-and-drain-3g8l", "author": "jasonbiondo", "external_url": "https://dev.to/jasonbiondo/the-engineering-capacity-trap-why-custom-page-builders-stall-product-roadmaps-and-drain-3g8l", "description": "Why custom page builders consume 40-60% of frontend engineering capacity and stall product roadmaps. 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Founder in 'launched mode' \u2014 replies now.", "qualification_score": 0 }, { "id": "hn:47843841", "source": "hacker_news", "signal_type": "show", "title": "Show HN: Palmier \u2013 bridge your AI agents and your phone", "url": "https://news.ycombinator.com/item?id=47843841", "author": "caihongxu", "external_url": "https://github.com/caihongxu/palmier", "description": "Hi HN \u2014 I built Palmier.

Palmier bridges your AI agents and your phone.

It does two things:

1. It lets you use your phone to directly control AI agents running on your computer, from anywhere.

2. It gives your AI agents access to your phone, wherever you are \u2014 including things like push notifications, SMS, calendar, contacts, sending email, creating calendar events, location, and more.

A few details:

* Supports 15+ agent CLIs

* Supports Linux, Windows, and macOS

* What runs on yo", "created_at_ts": 1776738711, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"caihongxu\"}, \"story_text\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Hi HN \\u2014 I built Palmier.

Palmier bridges your AI agents and your phone.

It does two things:

1. It lets you use your phone to directly control AI agents running on your computer, from anywhere.

2. It gives your AI agents access to your phone, wherever you are \\u2014 including things like push notifications, SMS, calendar, contacts, sending email, creating calendar events, location, and more.

A few details:

* Supports 15+ agent CLIs

* Supports Linux, Windows, and macOS

* What runs on your computer and your phone is fully open source

* Works out of the box \\u2014 no need to set up GCP or API keys just to let agents use phone capabilities

* Your phone can act as an agent remote: start tasks, check progress, review results, and respond to requests while away from your desk

* Your phone can also act as an agent tool: agents can reach into phone capabilities directly when needed

* Optional MCP server: if you want, Palmier exposes an MCP endpoint so your agent can access phone capabilities as native MCP tools. This is optional \\u2014 you can also use Palmier directly from the phone app/PWA, with those capabilities already built in

* Still in alpha stage, with bugs. Opinions and bug reports very welcome

The basic idea is that AI agents become much more useful if they can both:

* interact with the device you actually carry around all day

* be controlled when you are away from your computer

Palmier is my attempt at that bridge.

It already works with agent CLIs like Claude Code, Gemini CLI, Codex CLI, Cursor CLI, OpenClaw, and others. You can run tasks on demand, on a schedule, or in response to events.

Would especially love feedback on:

* whether this feels genuinely useful

* which phone capabilities are most valuable

* which agent CLIs I should support next

* what feels broken, awkward, or confusing

Site: https://www.palmier.me

Github:

* https://github.com/caihongxu/palmier

* https://github.com/caihongxu/palmier-android

Happy to answer questions.\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: Palmier \\u2013 bridge your AI agents and your phone\"}, \"url\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"https://github.com/caihongxu/palmier\"}}, \"_tags\": [\"story\", \"author_caihongxu\", \"story_47843841\", \"show_hn\"], \"author\": \"caihongxu\", \"children\": [47844880], \"created_at\": \"2026-04-21T02:31:51Z\", \"created_at_i\": 1776738711, \"num_comments\": 1, \"objectID\": \"47843841\", \"points\": 3, \"story_id\": 47843841, \"story_text\": \"Hi HN \\u2014 I built Palmier.

Palmier bridges your AI agents and your phone.

It does two things:

1. It lets you use your phone to directly control AI agents running on your computer, from anywhere.

2. It gives your AI agents access to your phone, wherever you are \\u2014 including things like push notifications, SMS, calendar, contacts, sending email, creating calendar events, location, and more.

A few details:

* Supports 15+ agent CLIs

* Supports Linux, Windows, and macOS

* What runs on your computer and your phone is fully open source

* Works out of the box \\u2014 no need to set up GCP or API keys just to let agents use phone capabilities

* Your phone can act as an agent remote: start tasks, check progress, review results, and respond to requests while away from your desk

* Your phone can also act as an agent tool: agents can reach into phone capabilities directly when needed

* Optional MCP server: if you want, Palmier exposes an MCP endpoint so your agent can access phone capabilities as native MCP tools. This is optional \\u2014 you can also use Palmier directly from the phone app/PWA, with those capabilities already built in

* Still in alpha stage, with bugs. Opinions and bug reports very welcome

The basic idea is that AI agents become much more useful if they can both:

* interact with the device you actually carry around all day

* be controlled when you are away from your computer

Palmier is my attempt at that bridge.

It already works with agent CLIs like Claude Code, Gemini CLI, Codex CLI, Cursor CLI, OpenClaw, and others. You can run tasks on demand, on a schedule, or in response to events.

Would especially love feedback on:

* whether this feels genuinely useful

* which phone capabilities are most valuable

* which agent CLIs I should support next

* what feels broken, awkward, or confusing

Site: https://www.palmier.me

Github:

* https://github.com/caihongxu/palmier

* https://github.com/caihongxu/palmier-android

Happy to answer questions.\", \"title\": \"Show HN: Palmier \\u2013 bridge your AI agents and your phone\", \"updated_at\": \"2026-04-21T05:28:02Z\", \"url\": \"https://github.com/caihongxu/palmier\"}", "personas": "ai_agents", "enriched_at_ts": 1776751743, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": "caihongxu", "website_url": null, "email": null, "company_name": null, "intent_signals": "open_source", "qualified_at_ts": 1776752443, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "Just posted on HN 228min ago. Founder in 'launched mode' \u2014 replies now.", "qualification_score": 0 }, { "id": "hn:47843677", "source": "hacker_news", "signal_type": "show", "title": "Show HN: Real-time visualization of Claude Code agent orchestration", "url": "https://news.ycombinator.com/item?id=47843677", "author": "daco", "external_url": "https://github.com/patoles/agent-flow", "description": "", "created_at_ts": 1776737134, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"daco\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: Real-time visualization of Claude Code agent orchestration\"}, \"url\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"https://github.com/patoles/agent-flow\"}}, \"_tags\": [\"story\", \"author_daco\", \"story_47843677\", \"show_hn\"], \"author\": \"daco\", \"created_at\": \"2026-04-21T02:05:34Z\", \"created_at_i\": 1776737134, \"num_comments\": 0, \"objectID\": \"47843677\", \"points\": 1, \"story_id\": 47843677, \"title\": \"Show HN: Real-time visualization of Claude Code agent orchestration\", \"updated_at\": \"2026-04-21T02:06:47Z\", \"url\": \"https://github.com/patoles/agent-flow\"}", "personas": "ai_agents", "enriched_at_ts": 1776751745, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": "patoles", "website_url": null, "email": null, "company_name": null, "intent_signals": null, "qualified_at_ts": 1776752444, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "Just posted on HN 255min ago. Founder in 'launched mode' \u2014 replies now.", "qualification_score": 0 }, { "id": "hn:47843670", "source": "hacker_news", "signal_type": "show", "title": "Show HN: NeuG \u2013 High-performance Embedded graph DB, one line to serve", "url": "https://news.ycombinator.com/item?id=47843670", "author": "robeenly", "external_url": "", "description": "I've been working on NeuG (pronounced "new-gee"), an embeddable graph database that follows the same philosophy as sqlite and DuckDB \u2014 in-process, zero configuration, just pip install and query.

What's different from existing embedded graph DBs:

- Dual-mode: start embedded, flip one line to expose as a network service \u2014 same data, same queries, no migration\n- Built on GraphScope Flex, the engine behind the current LDBC SNB Interactive world record (80k+ QPS)

Local bench", "created_at_ts": 1776737011, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"robeenly\"}, \"story_text\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"I've been working on NeuG (pronounced "new-gee"), an embeddable graph database that follows the same philosophy as sqlite and DuckDB \\u2014 in-process, zero configuration, just pip install and query.

What's different from existing embedded graph DBs:

- Dual-mode: start embedded, flip one line to expose as a network service \\u2014 same data, same queries, no migration\\n- Built on GraphScope Flex, the engine behind the current LDBC SNB Interactive world record (80k+ QPS)

Local benchmark highlights on LDBC SNB SF1 (~3M nodes, 17M edges):

Embedded mode vs LadybugDB (Kuzu-based): NeuG wins 8/9 LSQB queries single-threaded vs LadybugDB's best multi-threaded result. 287x on triangle patterns (Q3), 91x on two-hop filtering (Q2).

Service mode vs Neo4j: 617 QPS vs Neo4j's 12 QPS on LDBC SNB Interactive \\u2014 50.6x throughput. P95 latency 20ms vs Neo4j's 1,728ms.

Currently Python only. Node.js bindings and GraphRAG/vector extensions are on the roadmap.

Would love feedback \\u2014 especially from anyone who's tried K\\u00f9zu, LadybugDB, or runs Neo4j in production.

GitHub: https://github.com/alibaba/neug\\nBlog post with full details: https://graphscope.io/blog/tech/2026/04/12/neug-one-engine-t...\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: NeuG \\u2013 High-performance Embedded graph DB, one line to serve\"}}, \"_tags\": [\"story\", \"author_robeenly\", \"story_47843670\", \"show_hn\"], \"author\": \"robeenly\", \"created_at\": \"2026-04-21T02:03:31Z\", \"created_at_i\": 1776737011, \"num_comments\": 0, \"objectID\": \"47843670\", \"points\": 2, \"story_id\": 47843670, \"story_text\": \"I've been working on NeuG (pronounced "new-gee"), an embeddable graph database that follows the same philosophy as sqlite and DuckDB \\u2014 in-process, zero configuration, just pip install and query.

What's different from existing embedded graph DBs:

- Dual-mode: start embedded, flip one line to expose as a network service \\u2014 same data, same queries, no migration\\n- Built on GraphScope Flex, the engine behind the current LDBC SNB Interactive world record (80k+ QPS)

Local benchmark highlights on LDBC SNB SF1 (~3M nodes, 17M edges):

Embedded mode vs LadybugDB (Kuzu-based): NeuG wins 8/9 LSQB queries single-threaded vs LadybugDB's best multi-threaded result. 287x on triangle patterns (Q3), 91x on two-hop filtering (Q2).

Service mode vs Neo4j: 617 QPS vs Neo4j's 12 QPS on LDBC SNB Interactive \\u2014 50.6x throughput. P95 latency 20ms vs Neo4j's 1,728ms.

Currently Python only. Node.js bindings and GraphRAG/vector extensions are on the roadmap.

Would love feedback \\u2014 especially from anyone who's tried K\\u00f9zu, LadybugDB, or runs Neo4j in production.

GitHub: https://github.com/alibaba/neug\\nBlog post with full details: https://graphscope.io/blog/tech/2026/04/12/neug-one-engine-t...\", \"title\": \"Show HN: NeuG \\u2013 High-performance Embedded graph DB, one line to serve\", \"updated_at\": \"2026-04-21T02:44:17Z\"}", "personas": "", "enriched_at_ts": 1776751747, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": null, "website_url": null, "email": null, "company_name": null, "intent_signals": null, "qualified_at_ts": 1776752445, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "Just posted on HN 257min ago. Founder in 'launched mode' \u2014 replies now.", "qualification_score": 0 }, { "id": "hn:47843663", "source": "hacker_news", "signal_type": "show", "title": "Show HN: Weekly Log, Old-school journaling social media", "url": "https://news.ycombinator.com/item?id=47843663", "author": "bobbies-treats", "external_url": "", "description": "Weekly Log is a minimalistic social media website designed for you to do journaling and creative writing.

A lot of modern social media apps are set up in a way that addicts and detriments the users, meanwhile profiting off of their data. I really wanted to make a site that doesn't operate in that way.

Some of its distinctions:\n- You can create one post per week. This encourages care and consideration.\n- Nobody knows who you follow or what posts you react to, besides you and the other us", "created_at_ts": 1776736953, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"bobbies-treats\"}, \"story_text\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Weekly Log is a minimalistic social media website designed for you to do journaling and creative writing.

A lot of modern social media apps are set up in a way that addicts and detriments the users, meanwhile profiting off of their data. I really wanted to make a site that doesn't operate in that way.

Some of its distinctions:\\n- You can create one post per week. This encourages care and consideration.\\n- Nobody knows who you follow or what posts you react to, besides you and the other user. These stats are personal, so people view your logs free of outside influence.\\n- Posts are rich text-only, no images or videos, in an effort to reduce mental clutter.\\n- Your feed only features users you follow, to give you increased control of what you see, unless you click the "global" checkbox to see all posts.

quick demo: https://www.youtube.com/watch?v=7CTnORsGnL8\\noverview page: https://www.weekly-log.com/about/overview

---

I have soft-launched this website, and a handful of my friends have signed up and made posts. They're posting cool stuff, which has me excited.

I still have a number of big features that I'd like to implement, such as:\\n- prompts that users can create and select as weekly writing inspiration for their posts. (ex. "A dream you wish you had")\\n- saving content to different folders, and perhaps allowing users to organize folders of their own content on their profile page\\n- commenting on posts (would also be solely an interaction between the commenter and the poster)\\n- ability to make your account private\\n- advanced search features for content discovery without ambiguous algos

But anyway, I think it would be fantastic to get some strangers using it too. I think my consumer base is realistically- writers, creative types, introverts, people burnt out from modern software and tech.

I wanted to see what you all thought of this project. Any feedback on the concept, the design, the features, etc.? Any changes you would suggest or things to look out for? Also, I have toyed with the idea of starting to find ways to advertise this more, but curious if you all think now is a good time to start, or if I should wait until after I have developed more of the features I mentioned above? Or if you have any ideas for how I could approach the advertising side of it...

Feel free to check it out yourself, if you'd like: https://www.weekly-log.com/\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: Weekly Log, Old-school journaling social media\"}}, \"_tags\": [\"story\", \"author_bobbies-treats\", \"story_47843663\", \"show_hn\"], \"author\": \"bobbies-treats\", \"created_at\": \"2026-04-21T02:02:33Z\", \"created_at_i\": 1776736953, \"num_comments\": 0, \"objectID\": \"47843663\", \"points\": 1, \"story_id\": 47843663, \"story_text\": \"Weekly Log is a minimalistic social media website designed for you to do journaling and creative writing.

A lot of modern social media apps are set up in a way that addicts and detriments the users, meanwhile profiting off of their data. I really wanted to make a site that doesn't operate in that way.

Some of its distinctions:\\n- You can create one post per week. This encourages care and consideration.\\n- Nobody knows who you follow or what posts you react to, besides you and the other user. These stats are personal, so people view your logs free of outside influence.\\n- Posts are rich text-only, no images or videos, in an effort to reduce mental clutter.\\n- Your feed only features users you follow, to give you increased control of what you see, unless you click the "global" checkbox to see all posts.

quick demo: https://www.youtube.com/watch?v=7CTnORsGnL8\\noverview page: https://www.weekly-log.com/about/overview

---

I have soft-launched this website, and a handful of my friends have signed up and made posts. They're posting cool stuff, which has me excited.

I still have a number of big features that I'd like to implement, such as:\\n- prompts that users can create and select as weekly writing inspiration for their posts. (ex. "A dream you wish you had")\\n- saving content to different folders, and perhaps allowing users to organize folders of their own content on their profile page\\n- commenting on posts (would also be solely an interaction between the commenter and the poster)\\n- ability to make your account private\\n- advanced search features for content discovery without ambiguous algos

But anyway, I think it would be fantastic to get some strangers using it too. I think my consumer base is realistically- writers, creative types, introverts, people burnt out from modern software and tech.

I wanted to see what you all thought of this project. Any feedback on the concept, the design, the features, etc.? Any changes you would suggest or things to look out for? Also, I have toyed with the idea of starting to find ways to advertise this more, but curious if you all think now is a good time to start, or if I should wait until after I have developed more of the features I mentioned above? Or if you have any ideas for how I could approach the advertising side of it...

Feel free to check it out yourself, if you'd like: https://www.weekly-log.com/\", \"title\": \"Show HN: Weekly Log, Old-school journaling social media\", \"updated_at\": \"2026-04-21T02:06:47Z\"}", "personas": "", "enriched_at_ts": 1776751748, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": null, "website_url": null, "email": null, "company_name": null, "intent_signals": null, "qualified_at_ts": 1776752445, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "Just posted on HN 258min ago. Founder in 'launched mode' \u2014 replies now.", "qualification_score": 0 }, { "id": "hn:47839520", "source": "hacker_news", "signal_type": "show", "title": "Show HN: I built Comrade \u2013 the security-focused AI agent", "url": "https://news.ycombinator.com/item?id=47839520", "author": "laurentiurad", "external_url": "", "description": "Inspired by the success of OpenClaw, I built Comrade, which is an open-source AI workspace for teams focused on security. It provides a premium interface for AI-powered workflows, built with transparency, extensibility, and local-first principles. Check it out here: https://github.com/LaurentiuGabriel/comrade", "created_at_ts": 1776714120, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"laurentiurad\"}, \"story_text\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Inspired by the success of OpenClaw, I built Comrade, which is an open-source AI workspace for teams focused on security. It provides a premium interface for AI-powered workflows, built with transparency, extensibility, and local-first principles. Check it out here: https://github.com/LaurentiuGabriel/comrade\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: I built Comrade \\u2013 the security-focused AI agent\"}}, \"_tags\": [\"story\", \"author_laurentiurad\", \"story_47839520\", \"show_hn\"], \"author\": \"laurentiurad\", \"children\": [47839583, 47840066], \"created_at\": \"2026-04-20T19:42:00Z\", \"created_at_i\": 1776714120, \"num_comments\": 2, \"objectID\": \"47839520\", \"points\": 5, \"story_id\": 47839520, \"story_text\": \"Inspired by the success of OpenClaw, I built Comrade, which is an open-source AI workspace for teams focused on security. It provides a premium interface for AI-powered workflows, built with transparency, extensibility, and local-first principles. Check it out here: https://github.com/LaurentiuGabriel/comrade\", \"title\": \"Show HN: I built Comrade \\u2013 the security-focused AI agent\", \"updated_at\": \"2026-04-20T20:30:01Z\"}", "personas": "ai_agents,devtools", "enriched_at_ts": 1776751750, "real_name": null, "twitter_handle": null, "linkedin_url": null, "github_handle": null, "website_url": null, "email": null, "company_name": null, "intent_signals": "b2b,ai_tool,open_source", "qualified_at_ts": 1776752446, "company_stage": "unknown", "buyer_readiness": "cold", "why_now": "HN launch 10h ago. Founder still in launch window.", "qualification_score": 0 }, { "id": "hn:47837377", "source": "hacker_news", "signal_type": "show", "title": "Show HN: Seltz \u2013 The fastest, high quality, search API for AI agents", "url": "https://news.ycombinator.com/item?id=47837377", "author": "amallia", "external_url": "https://console.seltz.ai/login", "description": "Hi HN, Antonio here. Founder of Seltz.

Seltz is a web search API built for AI agents. We wrote the crawler, the index, and the retrieval models ourselves, in Rust, by a team that's spent years building web search at scale. In our tests, queries come back in under 200ms.

Efficiency was the first design principle. Search sits on the critical path: agents can't generate their first tokens or kick off the next tool call until results come back. When you run tens or hundreds of queries", "created_at_ts": 1776705158, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"amallia\"}, \"story_text\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Hi HN, Antonio here. Founder of Seltz.

Seltz is a web search API built for AI agents. We wrote the crawler, the index, and the retrieval models ourselves, in Rust, by a team that's spent years building web search at scale. In our tests, queries come back in under 200ms.

Efficiency was the first design principle. Search sits on the critical path: agents can't generate their first tokens or kick off the next tool call until results come back. When you run tens or hundreds of queries in parallel, every millisecond of tail latency compounds.

Most search APIs for agents are wrappers around Google or Bing. If your agent already has a Google tool, a second call to a Google-wrapped API returns the same ten documents. We run our own independent index, so you get different results and different rankings.

Coverage starts with US news. More verticals are coming.

There's a free tier with $100 in credits at the link. I'd love feedback from anyone building agents: how does it compare to what you're using, and where does it fall over?\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: Seltz \\u2013 The fastest, high quality, search API for AI agents\"}, \"url\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"https://console.seltz.ai/login\"}}, \"_tags\": [\"story\", \"author_amallia\", \"story_47837377\", \"show_hn\"], \"author\": \"amallia\", \"children\": [47837408], \"created_at\": \"2026-04-20T17:12:38Z\", \"created_at_i\": 1776705158, \"num_comments\": 1, \"objectID\": \"47837377\", \"points\": 5, \"story_id\": 47837377, \"story_text\": \"Hi HN, Antonio here. Founder of Seltz.

Seltz is a web search API built for AI agents. We wrote the crawler, the index, and the retrieval models ourselves, in Rust, by a team that's spent years building web search at scale. In our tests, queries come back in under 200ms.

Efficiency was the first design principle. Search sits on the critical path: agents can't generate their first tokens or kick off the next tool call until results come back. When you run tens or hundreds of queries in parallel, every millisecond of tail latency compounds.

Most search APIs for agents are wrappers around Google or Bing. If your agent already has a Google tool, a second call to a Google-wrapped API returns the same ten documents. We run our own independent index, so you get different results and different rankings.

Coverage starts with US news. More verticals are coming.

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No sign\u2011up required during beta. Just paste a JD and start.

I'd love brutal feedback. What features are missing? What's confusing?

Also, if you fill out the feedback form on the site, you get one month free when ", "created_at_ts": 1776703748, "first_seen_ts": 1776748464, "score": 40, "raw_json": "{\"_highlightResult\": {\"author\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"lilprince1218\"}, \"story_text\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Enlist AI is a free web app I built to help people prepare for job interviews. You paste a job description, and it generates a personalized study plan with topics, priority levels, and estimated hours. It also includes a CV builder and voice training to practice answers.

No sign\\u2011up required during beta. Just paste a JD and start.

I'd love brutal feedback. What features are missing? What's confusing?

Also, if you fill out the feedback form on the site, you get one month free when we launch.\"}, \"title\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"Show HN: Enlist AI: A tool that turns any job description into a study plan\"}, \"url\": {\"matchLevel\": \"none\", \"matchedWords\": [], \"value\": \"https://enlistai.vercel.app\"}}, \"_tags\": [\"story\", \"author_lilprince1218\", \"story_47836963\", \"show_hn\"], \"author\": \"lilprince1218\", \"created_at\": \"2026-04-20T16:49:08Z\", \"created_at_i\": 1776703748, \"num_comments\": 0, \"objectID\": \"47836963\", \"points\": 2, \"story_id\": 47836963, \"story_text\": \"Enlist AI is a free web app I built to help people prepare for job interviews. You paste a job description, and it generates a personalized study plan with topics, priority levels, and estimated hours. It also includes a CV builder and voice training to practice answers.

No sign\\u2011up required during beta. Just paste a JD and start.

I'd love brutal feedback. What features are missing? What's confusing?

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A murder of crows for your bug backlog

Discussion | Link

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Let users to summarize your website with their favorite AI

Discussion | Link

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(site is a launching-soon placeholder)

Discussion | Link

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Remote sensing and AI from space

Discussion | Link

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Real-time quantification of greenhouse gas removals

Discussion | Link

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Tool-free modular 3D cubes to build anything in real life

Discussion | Link

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Measure and improve how your brand appears in AI search

Discussion | Link

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Self-custodial wallet built for AI agents

Discussion | Link

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World's first cloud sandbox Hermes Agent from MiniMax

Discussion | Link

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Bring Claude into the physical world with maker hardware

Discussion | Link

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An information operating system powered by local files

Discussion | Link

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Opensource AI-native embedded development environment

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