Fantail SLMs for Coding Agents

Hacker News

We’re releasing Fantail, small language models tuned for coding agents with schema‑first prompting and constrained decoding. On Terminal‑Bench: 0.5B 28.4%, 1.3B 34.7%, 3B 41.3% vs GPT‑5 mini 39.8% and Sonnet 4.5 45.7% (3 seeds, no web). Reproducible runs + CSV→figure script included. PS: we will release the weights and details later this week. Links Paper/overview: We will be posting here the details later this week. Weights: https://huggingface.co/autohandai/models Code: https://github.com/autohandai/fantail

Visit product View on Hacker NewsOct 29, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor

81%81% 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.

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

21%21% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

LazyAgent – All in one observerbility TUI app for coding agents39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LazyAgent – All in one observerbility TUI app for coding agents

Hacker News6

Cloud Coding Agents35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cloud Coding Agents

Hacker News2

Druids – coordinate and deploy coding agents across machines40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Druids – coordinate and deploy coding agents across machines

Hacker News9

Grass 2.097%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The always-on computer for your coding agents

Product Hunt+111iOS

Coordination Layer for Coding Agents39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Coordination Layer for Coding Agents

Hacker News9

Graphify C# – Compiler-accurate Find Usages for coding agents45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Graphify C# – Compiler-accurate Find Usages for coding agents

Hacker News46

Keep up with your coding agents – Git Watchttower36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keep up with your coding agents – Git Watchttower

Hacker News2

Crew4496%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn coding agents into specialist teams

Product Hunt+110

Coding Agents swarming your codebase50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Coding Agents swarming your codebase

Hacker News9

GitWarren95%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Review code with your coding agents before committing

Product Hunt+91Open Source

Browse all products Analyze your launch