Vibesolve.ai – Turn plain English into Timefold code

Hacker News

VibeSolve is an open-source tool that turns a plain-English description of an optimisation problem into Timefold code. Mathematical optimisation is a branch of mathematics and computer science that searches for the minimum/maximum of objective functions, and has applications in transport, logistics, scheduling etc. We are exploring where LLMs can add value in optimisation algorithm development, and where they get in the way. Right now, it works well for rapid prototyping. It does not create production-ready code and requires technical skills to use. It is noticeably better at creating Timefold code than asking an LLM directly. Are you an optimisation or GenAI developer? Give us feedback, and send that PR you think might be useful.

Visit product View on Hacker NewsJun 25, 2026

Share card

Actual performance

8points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: computer, code, open · Missing: mac, agents, macos

94%94% 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% 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 · Strong signals: way · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

ResearchMaster AI6%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn one plain-English question into a decision-ready market

Indie Hackersemployees-0

Genify61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn plain English prompts into formatted PDF and Word docs

Indie Hackerscommitment-side-project

QuantDock36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn plain-English trading ideas into AI bots

Indie Hackerscommitment-side-project

Flowdrop V1.176%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn plain English into working automations & workflows

Product Hunt+122Artificial Intelligence

Framer Forge72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn plain English into custom Framer code overrides

Product Hunt+2

Floma45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate anything with plain English.

Indie Hackerscommitment-side-project

Draftly73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn plain English into editable UI components & designs

Product Hunt+95Design Tools

Archiet38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

From plain English to audit‑ready code.

Indie Hackerscommitment-side-project

Deha42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Deha enables you to work with data in plain English

Indie Hackers

Backtest a futures strategy described in plain English41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backtest a futures strategy described in plain English

Hacker News5

Browse all products Analyze your launch