frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

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!

Test-case reducers are underappreciated debugging tools

https://tratt.net/laurie/blog/2026/test_case_reducers_are_underappreciated_debugging_tools.html
1•ltratt•1m ago•0 comments

Model routing is a fix for AI overspending, a problem for OpenAI and Anthropic

https://www.cnbc.com/2026/06/05/model-routing-on-ai-is-a-problem-for-openai-and-anthropic.html
1•1vuio0pswjnm7•2m ago•0 comments

Node-RED Version 5.0 released

https://nodered.org/blog/2026/06/09/version-5-0-released
1•beardicus•5m ago•0 comments

Ask HN: Do you install other people agent skills?

1•sermakarevich•5m ago•0 comments

Show HN: A static SPA to query ATF / BATFE historic AFMER data

https://ryjones.github.io/AFMER-SPA/?ymin=2000&ymax=2024&text=BOEING
1•RyJones•5m ago•0 comments

Rules Before Tools in Critical Infrastructure

https://cabreza.substack.com/p/discipline-1-rules-before-tools
1•fathermarz•6m ago•0 comments

AI Is a Confidence Booster

https://ma.ttias.be/ai-is-a-confidence-booster/
1•Mojah•7m ago•0 comments

Hurdles to a hobby: climate change and runfluencer culture impact our daily jog

https://theconversation.com/hurdles-to-a-hobby-how-climate-change-and-runfluencer-culture-impact-...
1•PaulHoule•8m ago•0 comments

Nvidia's AI PC push banks on unproven demand beyond niche users

https://www.reuters.com/world/china/nvidias-ai-pc-push-banks-unproven-demand-beyond-niche-users-2...
1•1vuio0pswjnm7•8m ago•0 comments

Glucosamine supplement may accelerate dementia and mortality

https://medicalxpress.com/news/2026-06-popular-joint-pain-supplement-dementia.html
1•OutOfHere•8m ago•1 comments

RubyLLM 1.16: concurrent tool execution, Rails-style instrumentation, and more

https://github.com/crmne/ruby_llm/releases/tag/1.16.0
1•earcar•11m ago•0 comments

Apple failed to make its AI tool to comply to EU regulations, EU Commission says

https://www.reuters.com/business/apple-failed-make-its-ai-tool-comply-eu-regulations-eu-commissio...
1•1vuio0pswjnm7•11m ago•0 comments

Why az login ROPC ignores custom ports (CONNECT proxy workaround)

https://topaz.thecloudtheory.com/blog/ropc-local-azure-login/
1•kamilmrzyglod•11m ago•0 comments

StumbleUpon Is Back

https://stumbleupon.cc/
1•revolp•12m ago•0 comments

AV2 video codec released: 30% more efficient than AV1

https://www.flatpanelshd.com/news.php?subaction=showfull&id=1780642255
2•ksec•14m ago•0 comments

Integrate on-device AI models into your app using Core AI [video]

https://developer.apple.com/videos/play/wwdc2026/326/
1•sgt•15m ago•0 comments

Franz: Hacker News sent 10x the traffic

https://adlk.io/blog/hacker-news-vs-product-hunt/
3•tosh•15m ago•0 comments

Show HN: fftext - quick summary, fact check, ELI5 on CPU

https://github.com/kouhxp/fftext
1•mrkn1•16m ago•0 comments

I Made a Vibe Coded Operating System

1•annoymousperson•18m ago•0 comments

1979: Will Word Processors Start a Home Working Revolution?

https://www.youtube.com/watch?v=b6URa-PTqfA
1•tzury•18m ago•0 comments

Show HN: Squish – client-side video compression with WebAssembly

https://www.usesquish.me/
1•toolmaker_01•18m ago•0 comments

Fear of AI bubble ahead of SpaceX IPO

https://fortune.com/2026/06/08/stocks-ai-bubble-spacex-ipo/
2•amelius•21m ago•0 comments

Loop Engineering

https://twitter.com/addyosmani/status/2064127981161959567
1•pretext•24m ago•0 comments

China's Unitree Will Dominate Global Robotics

https://newsletter.semianalysis.com/p/chinas-unitree-will-dominate-global
1•nanmu42•25m ago•0 comments

AI Billionaires Brace for Pitchforks

https://www.axios.com/2026/05/29/ai-billionaires-tech-taxes-wealth
1•robtherobber•27m ago•0 comments

Learning to lead in a hybrid human-AI enterprise

https://www.technologyreview.com/2026/06/09/1137830/learning-to-lead-in-a-hybrid-human-ai-enterpr...
2•joozio•27m ago•0 comments

Musk's SpaceX IPO Narrative Is a Whole New Level of Bullshit

https://text.tchncs.de/chronik-des-laufenden-wahnsinns/h1elon-musk-has-spouted-his-fair-share-of-...
1•doener•27m ago•0 comments

Is AI-written code buggier than human code?

https://www.repowise.dev/blog/engineering/is-ai-written-code-buggier-than-human-code
2•raghavchamadiya•29m ago•0 comments

China's all-round dominance, from batteries to medicine, from trains to AI

https://www.lemonde.fr/en/economy/article/2026/06/07/china-s-all-round-dominance-from-batteries-t...
4•calcifer•31m ago•1 comments

Decentralized AI Inference Marketplace

https://t4t.eth.link
1•ffaerber•31m ago•1 comments