Au

Autodevs – Generate simple prototypes automatically

Hacker News

Autodevs – Generate simple prototypes automatically

We've been working on this for a while and just put it up on our homepage. Generate simple app prototypes using text prompts. Iterate through refinements. Turn it into a live app. Get the code. Share it with others to let them make their own version. Add a (human) dev team if it needs to be more complex. More to come, but putting it out there for feedback that can help us prioritize what's next

Share card

Actual performance

15points
3comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using, code · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ge
Generate your og:images automatically52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate your og:images automatically

Hacker News16
Au
Automatically generate Java builder classes28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatically generate Java builder classes

Hacker News2
h2
h2thrift – Automatically generate Thrift RPC wrappers from .h files20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

h2thrift – Automatically generate Thrift RPC wrappers from .h files

Hacker News1
Au
Automatically Controlling a Dehumidifier with a Nest57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatically Controlling a Dehumidifier with a Nest

Hacker News1
Au
Automatically Thank Patreon Backers with OpenFaaS38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatically Thank Patreon Backers with OpenFaaS

Hacker News11
So
Sorts Evernotes, Automatically57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sorts Evernotes, Automatically

Hacker News3
TempHub
TempHub41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatically call your temps, one by one

Indie Hackers1b2b
Au
Automatically generate the Devise acceptance tests39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatically generate the Devise acceptance tests

Hacker News3
Ki
Kiezellisp, a lisp on .NET DLR with prototypes and multimethods61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kiezellisp, a lisp on .NET DLR with prototypes and multimethods

Hacker News2
Ge
Generate Terraform moved blocks automatically44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate Terraform moved blocks automatically

Hacker News2