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How patient are AI scrapers, anyway? – Random Thoughts

https://lars.ingebrigtsen.no/2026/02/07/how-patient-are-ai-scrapers-anyway/
1•samtrack2019•28s ago•0 comments

Vouch: A contributor trust management system

https://github.com/mitchellh/vouch
1•SchwKatze•32s ago•0 comments

I built a terminal monitoring app and custom firmware for a clock with Claude

https://duggan.ie/posts/i-built-a-terminal-monitoring-app-and-custom-firmware-for-a-desktop-clock...
1•duggan•1m ago•0 comments

Tiny C Compiler

https://bellard.org/tcc/
1•guerrilla•2m ago•0 comments

Y Combinator Founder Organizes 'March for Billionaires'

https://mlq.ai/news/ai-startup-founder-organizes-march-for-billionaires-protest-against-californi...
1•hidden80•3m ago•0 comments

Ask HN: Need feedback on the idea I'm working on

1•Yogender78•3m ago•0 comments

OpenClaw Addresses Security Risks

https://thebiggish.com/news/openclaw-s-security-flaws-expose-enterprise-risk-22-of-deployments-un...
1•vedantnair•4m ago•0 comments

Apple finalizes Gemini / Siri deal

https://www.engadget.com/ai/apple-reportedly-plans-to-reveal-its-gemini-powered-siri-in-february-...
1•vedantnair•4m ago•0 comments

Italy Railways Sabotaged

https://www.bbc.co.uk/news/articles/czr4rx04xjpo
2•vedantnair•5m ago•0 comments

Emacs-tramp-RPC: high-performance TRAMP back end using MsgPack-RPC

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•fanf2•6m ago•0 comments

Nintendo Wii Themed Portfolio

https://akiraux.vercel.app/
1•s4074433•10m ago•1 comments

"There must be something like the opposite of suicide "

https://post.substack.com/p/there-must-be-something-like-the
1•rbanffy•13m ago•0 comments

Ask HN: Why doesn't Netflix add a “Theater Mode” that recreates the worst parts?

2•amichail•13m ago•0 comments

Show HN: Engineering Perception with Combinatorial Memetics

1•alan_sass•20m ago•2 comments

Show HN: Steam Daily – A Wordle-like daily puzzle game for Steam fans

https://steamdaily.xyz
1•itshellboy•22m ago•0 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•spenvo•22m ago•0 comments

Just Started Using AmpCode

https://intelligenttools.co/blog/ampcode-multi-agent-production
1•BojanTomic•23m ago•0 comments

LLM as an Engineer vs. a Founder?

1•dm03514•24m ago•0 comments

Crosstalk inside cells helps pathogens evade drugs, study finds

https://phys.org/news/2026-01-crosstalk-cells-pathogens-evade-drugs.html
2•PaulHoule•25m ago•0 comments

Show HN: Design system generator (mood to CSS in <1 second)

https://huesly.app
1•egeuysall•25m ago•1 comments

Show HN: 26/02/26 – 5 songs in a day

https://playingwith.variousbits.net/saturday
1•dmje•26m ago•0 comments

Toroidal Logit Bias – Reduce LLM hallucinations 40% with no fine-tuning

https://github.com/Paraxiom/topological-coherence
1•slye514•28m ago•1 comments

Top AI models fail at >96% of tasks

https://www.zdnet.com/article/ai-failed-test-on-remote-freelance-jobs/
5•codexon•28m ago•2 comments

The Science of the Perfect Second (2023)

https://harpers.org/archive/2023/04/the-science-of-the-perfect-second/
1•NaOH•29m ago•0 comments

Bob Beck (OpenBSD) on why vi should stay vi (2006)

https://marc.info/?l=openbsd-misc&m=115820462402673&w=2
2•birdculture•33m ago•0 comments

Show HN: a glimpse into the future of eye tracking for multi-agent use

https://github.com/dchrty/glimpsh
1•dochrty•34m ago•0 comments

The Optima-l Situation: A deep dive into the classic humanist sans-serif

https://micahblachman.beehiiv.com/p/the-optima-l-situation
2•subdomain•34m ago•1 comments

Barn Owls Know When to Wait

https://blog.typeobject.com/posts/2026-barn-owls-know-when-to-wait/
1•fintler•34m ago•0 comments

Implementing TCP Echo Server in Rust [video]

https://www.youtube.com/watch?v=qjOBZ_Xzuio
1•sheerluck•34m ago•0 comments

LicGen – Offline License Generator (CLI and Web UI)

1•tejavvo•38m ago•0 comments
Open in hackernews

Show HN: I built a daily inspiration platform for indie developers

https://builtwhat.app/en
1•TerrenceTian•6mo ago
TL;DR: builtwhat.app delivers curated product ideas to 1,000+ developers daily by analyzing social conversations with AI.

The Problem

As an indie developer, I was tired of the endless cycle of "what should I build next?" I'd spend weeks browsing Reddit threads, analyzing competitors, and hunting for user pain points instead of actually building.

The traditional approach felt broken:

Most "pain points" on forums are just people venting, not real market opportunities By the time you finish market research, your motivation is gone Building in isolation leads to products nobody wants

The Solution

Instead of developers hunting for ideas, why not flip it? Let AI monitor where users naturally complain (Reddit, Twitter, niche communities) and transform those pain points into actionable product opportunities.

How it works:

AI monitors social platforms for genuine user frustrations Sentiment analysis + frequency scoring identifies promising opportunities Community of developers votes and refines each idea Daily curated inspiration delivered with market context and technical suggestions

Technical Implementation

Stack:

Frontend: Next.js 15.3.3 + React 19 + TypeScript Backend: Cloudflare Workers + Hono framework Hosting: Cloudflare Pages with OpenNext.js UI: shadcn/ui + Radix primitives + Tailwind CSS 4.1.1 Internationalization: next-intl for English/Chinese support

Why Cloudflare's edge stack:

Global performance: Edge Workers eliminate cold starts Cost efficiency: Scales to zero, pay per request Simplicity: Single platform for static assets, APIs, and compute

Interesting technical choices:

Using OpenNext.js to run Next.js 15 on Cloudflare Workers (still experimental but works great) Built custom AI pipeline for social listening and sentiment analysis Leveraging Workers KV for caching API responses globally Full TypeScript across frontend/backend with shared types

Current Status

1,000+ developers subscribed to daily inspirations 10+ product ideas curated and archived Community discussions with voting and feedback WeChat group for Chinese developers (because why not?)

Revenue: Currently free (exploring premium features like AI market validation) What I Learned

Cloudflare Workers are underrated for full-stack apps. The DX is excellent once you get the hang of it, and the global performance is unmatched. Community-driven curation works. Having developers vote on ideas dramatically improves quality vs pure AI selection.

Internationalization from day one was the right call. ~40% of users are Chinese developers. Next.js 15 + React 19 on edge workers feels like the future, even if slightly bleeding edge.

Challenges

Social API limits: Had to get creative with data collection methods Edge runtime constraints: Some Node.js packages don't work in Workers Balancing automation vs curation: Pure AI gives too many false positives

What's Next

Working on:

AI-powered market validation for submitted ideas Collaborative spaces for community projects Success tracking (inspiration → shipped product) More data sources beyond social platforms

Questions for HN

Fellow indie developers: What's your biggest challenge in finding product ideas? Technical: Anyone else running Next.js 15 on Cloudflare Workers? How's your experience? AI/ML folks: Best approaches for sentiment analysis on social data at scale? Community building: How do you maintain quality in user-generated content platforms?

Try it out: builtwhat.app

Happy to answer questions about the technical implementation, community growth, or anything else!

Built this mostly for myself and other indie developers who were stuck in analysis paralysis. Turns out I wasn't alone.