frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Open in hackernews

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

5•jonathanhar•8mo 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•8mo 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•8mo 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!

Eliminate branches by melding IR instructions

https://arxiv.org/abs/2512.22390
2•fanf2•1m ago•0 comments

Dream2Flow: AI lets robots imagine tasks before acting with video generation

https://scienceclock.com/dream2flow-stanford-ai-robots-imagine-tasks/
2•akg130522•2m ago•0 comments

Short-Form Videos Degrade Our Capacity to Retain Intentions (2023)

https://arxiv.org/abs/2302.03714
2•cainxinth•5m ago•0 comments

Save 22% of your storage with this one easy trick

https://mina86.com/2025/use-jpeg-xl-already/
2•derleyici•6m ago•0 comments

Names for mama, papa, and other kinship terms in 500 languages

https://allthingslinguistic.com/post/159731144929/names-for-mama-papa-and-other-kinship-terms-in
2•thunderbong•10m ago•0 comments

Computers Are Fast (2004)

https://thundergolfer.com/computers-are-fast
2•vismit2000•10m ago•0 comments

Technology Is Culture

https://lemire.me/blog/2026/01/01/technology-is-culture/
2•giuliomagnifico•13m ago•0 comments

Assorted Less(1) Tips

https://blog.thechases.com/posts/assorted-less-tips/
2•todsacerdoti•13m ago•0 comments

Show HN: PDF to Markdown that preserves layout, images, and tables

https://pdftomarkdown.pro/
2•matthewshere•15m ago•0 comments

Vect AI Blog – The Autonomous Marketing OS and Growth Engine

https://www.google.com/search?q=site%3Ablog.vect.pro&oq=&gs_lcrp=EgZjaHJvbWUqCQgBECMYJxjqAjIJCAAQ...
2•WoWSaaS•17m ago•0 comments

Reasons I Found Why AIs Struggle with Coding

https://www.amazingcto.com/where-ai-struggle-doom-loops/
2•KingOfCoders•19m ago•0 comments

I Accidentally Rebuilt OpenHands from Scratch – Here's What I Learned

https://huggingface.co/blog/charles-azam/rebuilt-openhands
2•couAUIA•19m ago•0 comments

Show HN: I built an AI tool to turn app screenshots into device mockups fast

https://mockup-make.com/
2•ximu•22m ago•0 comments

Asus officially announces price hikes from January 5, right before CES 2026

https://videocardz.com/newz/asus-officially-announces-price-hikes-from-january-5-right-before-ces...
3•smurda•24m ago•0 comments

African Startup Events Calendar (2025–2026)

https://startupmapafrica.com/events/african-startup-events-2025-2026
2•muriithiKabogo•25m ago•1 comments

Blood-cleansing method faces its first test as cancer vaccine – Science – AAAS

https://www.science.org/content/article/blood-cleansing-method-faces-its-first-test-cancer-vaccine
3•rbanffy•27m ago•0 comments

In the Arctic, Drones Help Identify Deadly Virus in Whales

https://www.nytimes.com/2026/01/02/science/arctic-drones-whales-virus.html
2•mistersquid•30m ago•0 comments

Should US Homebuilders Emulate Sweden? – By Brian Potter

https://www.construction-physics.com/p/should-us-homebuilders-emulate-sweden
2•rbanffy•31m ago•0 comments

My "job" as family admin or Linux rules the house

https://blog.bembel.net/2025/12/my-job-as-family-admin-or-linux-rules-the-house/
3•todsacerdoti•32m ago•0 comments

GitHub-Store: App store for GitHub releases

https://github.com/rainxchzed/Github-Store
2•csmantle•35m ago•0 comments

Show HN: I built a clipboard tool to strip/keep specific formatting like Italics

https://custompaste.com
2•EvaWorld9•36m ago•0 comments

Show HN: ViviGener – Free AI Prompt Template Library and Community

3•kuangzk1•36m ago•0 comments

Show HN: Hindsight – GitHub-style Git yearly activity visualizer in terminal

https://github.com/chaosprint/hindsight
2•chaosprint•36m ago•0 comments

If AI doesn't measurably improve anything, it should stop talking

https://zenodo.org/records/18100154
2•DELTA-X•37m ago•0 comments

Show HN: Steganography in natural language using LLM logit-rank steering

https://github.com/shevisj/subtext-codec
2•shevis•37m ago•0 comments

Observations from 2025 for Eng Leaders

https://avivbenyosef.com/10-observations-from-2025-for-eng-leaders/
2•avivby•41m ago•0 comments

I switched away from Zig to C3

https://lowbytefox.dev/blog/from-zig-to-c3/
2•lerno•45m ago•0 comments

You Can Look It Up: A Threnody for the Dictionary

https://www.commentary.org/articles/joseph-epstein/dictionary-lexicography-threnody/
2•bryanrasmussen•46m ago•0 comments

Tupolev Tu-4

https://en.wikipedia.org/wiki/Tupolev_Tu-4
2•tosh•48m ago•0 comments

From 100 AI Tools to 4: My Prod Stack

https://www.decodingai.com/p/my-ai-production-tech-stack
2•pauliusztin•50m ago•0 comments