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Run your own Flipper One

https://docs.flipper.net/one/dev-log/10
1•mnem•58s ago•0 comments

The most life-changing books, statistically

https://residualthoughts.substack.com/p/a-statistical-guide-to-the-most-life
1•7777777phil•2m ago•0 comments

China proposes export controls on open weight models

https://reddit.com/r/LocalLLaMA/comments/1x7g3zq/china_proposes_export_controls_on_23_ai/
3•dannyw•2m ago•0 comments

Russian Officer Turned Against His Country and Helped Ukraine Kill Hundreds

https://www.wsj.com/world/russian-defector-deadly-sabotage-campaign-a95d163c
1•7777777phil•4m ago•0 comments

Hillclimb: Open-source AlphaEvolve-style search with Claude Code and Codex

https://github.com/rebase-energy/hillclimb
1•robertroosalu•4m ago•0 comments

Cello – High Level C

https://libcello.org/
1•ferryth•5m ago•0 comments

A Statistical Analysis of LLM Benchmaxxing

https://llemre.com/benchmaxxing/
1•bhu8•6m ago•1 comments

GifCities

https://gifcities.org/
2•augury•6m ago•0 comments

X still hosts Twitter brand toolkit

https://about.x.com/en/who-we-are/brand-toolkit
2•vladde•8m ago•0 comments

Learned Index Lab: Replacing B-Trees with Streaming Models in Rust (99% RAM, 3x

https://github.com/gilnett/learned_index_lab
1•birdculture•10m ago•0 comments

Bill C-22, Canada's Patriot Act

https://the307.substack.com/p/inside-bill-c-22-canadas-patriot
2•iamnothere•11m ago•0 comments

LaunchGP

https://launchgp.io/
1•welsenesbros•11m ago•0 comments

Tesla Roadster game: escape the cops

https://game.konstantinrichter.de/
2•f4n4tiX•11m ago•2 comments

Go Piss, Girl: The plight of the public potty

https://thebaffler.com/latest/go-piss-girl-wagner
1•prismatic•12m ago•0 comments

The First Candid

https://www.newyorker.com/magazine/2026/10/19/the-first-candid
1•Thevet•13m ago•0 comments

Sony made a $5,900 gold-plated Walkman MP3 player

https://www.theverge.com/tech/1012200/sony-made-a-5900-gold-plated-walkman-mp3-player
2•geox•14m ago•0 comments

CERN and Mistral join forces to accelerate AI for science

https://home.cern/cern-and-mistral-join-forces-to-accelerate-ai-for-science/
2•torsi0n•14m ago•0 comments

Renor – Markdown memory for coding agents, shared over MCP (AGPL)

https://github.com/patrickpassosb/renor-engine
1•patrickpassosbb•16m ago•0 comments

Akkermansia and Cancer: A Look at the Research

https://biologyinsights.com/akkermansia-and-cancer-a-look-at-the-research/
1•canucker2016•16m ago•1 comments

Show HN:MockForge – Zero-dependency Python API mocking server

https://github.com/alessio1999xx-debug/pyforge-task-Mockforge
1•AlessioDev•16m ago•0 comments

It's not a strategy if there are no tradeoffs

https://longform.asmartbear.com/strategic-choices/
1•Curiositry•16m ago•0 comments

China unveils draft export controls on AI, open-weight models, and chips

https://www.ft.com/content/e0a1295c-4492-4fdd-aaf5-55678a9ef9bf
4•boelboel•17m ago•0 comments

PC Pursuit would let late 80s modem users connect to BBSs in other major cities

https://en.wikipedia.org/wiki/Telenet
1•m463•17m ago•0 comments

GB NESO: Emergency Assistance: what it is, and why we used it over the last week

https://www.neso.energy/news/emergency-assistance-what-it-and-why-we-used-it-over-last-week
1•DamonHD•20m ago•0 comments

Verisign and ICANN should reverse course on third-level .name domains

https://domainnamewire.com/2026/10/14/verisign-and-icann-should-reverse-course-on-third-level-nam...
2•greyface-•21m ago•1 comments

BeyondTrust patches zero-day exploited in attacks since August

https://www.bleepingcomputer.com/news/security/beyondtrust-patches-zero-day-exploited-in-attacks-...
1•wondersky•21m ago•0 comments

Show HN: Terra – Restore Wasteland – Looking for Feedbacks – Soon Open Source

https://testflight.apple.com/join/RurMGWw6
1•pompeii•22m ago•0 comments

Backdooring Open-Weight AI Models

https://www.schneier.com/blog/archives/2026/10/backdooring-open-weight-ai-models.html
1•wondersky•22m ago•0 comments

Netflix's Chief Content Officer Bela Bajaria Exiting

https://deadline.com/2026/10/netflixs-chief-content-officer-bela-bajaria-leaving-1237158727/
3•theanonymousone•24m ago•0 comments

The Download: failed social media bans, and extending pets' lives

https://www.technologyreview.com/2026/10/16/1146864/the-download-failed-social-media-bans-and-ext...
1•joozio•24m ago•0 comments
Open in hackernews

Last month 10k apps were built on our platform – here's what we learned

5•jonathanhar•1y ago
Hey all, Jonathan here, cofounder of Fine.dev

Over the last month alone, we've seen more than 10,000 apps built on our product, an AI-powered app creation platform. That gave us a pretty unique vantage point to understand how people actually use AI to build software. We thought we had it pretty much figured out, but what we learned changed our thinking completely.

Here are the three biggest things we learned:

1. Reducing the agent's scope of action improves outcomes (significantly)

At first, we thought “the more the AI can do, the better.” Turns out… not really. When the agent had too much freedom, users got vague, bloated, or irrelevant results. But when we narrowed the scope the results got shockingly better. We even stopped using tool calls almost all together. We never expected this to happen, but here we are. Bottom line - small, focused prompts → cleaner, more useful apps.

2. The first prompt matters. A lot.

We’ve seen prompt quality vary wildly. The difference between "make me a productivity tool" and "give me a morning checklist with 3 fields I can check off and reset each day" is everything. In fact, the success of the app often came down to just how detailed was that first prompt. If it was good enough - users could easily make iterations on top of it until they got their perfect result. If it wasn't good enough, the iterations weren't really useful. Bottom line - make sure to invest in your first request, it will set the tone for the rest of the process.

3. Most apps were small + personal + temporary.

Here’s what really blew our minds: People weren't building startups / businesses. They were building tools for themselves. For this week. For this moment. A gift tracker just for this year's holidays, a group trip planner for the weekend, a quick dashboard to help their kid with morning routines, a way to RSVP for a one-time event. Most of these apps weren’t meant to last. And that's what made them valuable.

This led us to a big shift in our thinking:

We’ve always thought of software as product or infrastructure. But after watching 10,000 apps come to life, we’re convinced it’s also becoming content: fast to create, easy to discard, and deeply personal. In fact, we even released a Feed where every post is a working app you can remix, rebuild, or discard.

We think we're entering the age of disposable software, and AI app builders is where that shift comes to life.

Also happy to answer questions about what we learned from the first 10K apps AMA style.

Comments

kingkongjaffa•1y ago
> We think we're entering the age of disposable software, and AI app builders is where that shift comes to life.

This is a fascinating thought. I wonder if there's some disconnect between good design and the immediacy of building something that solves exactly the thing you need to solve at the time.

What I mean is, when you first build something, it probably does what users need, but there's always some rough edges. Frankly out of 10,000 throwaway apps built, I'm going to guess probably less than 10 have been built with good design and taste.

It's like the difference between a TODO MVP toy app to track tasks, vs something like Linear which is beautifully designed.

Both probably have their place I think.

For my work I'm not sure I want my tools to be so discardable personally. I want to use predictable, well designed tools that have had their rough edges sanded down through iteratively reducing the micro-frictions I have in my day to day job. Behind every great product experience there's usually someone obsessing over a specific pain point and motivated to make something great.

Toy throwaway apps can't replace human thinking time and experience using a tool over months and years.

For personal and one time problems, toy apps can absolutely get the job done, and most people are willing to overlook the rough edges.

tomcam•1y ago
> When the agent had too much freedom, users got vague, bloated, or irrelevant results.

Listen, pal: I was vague and bloated long before you released your little platform!