Forest Friends Zine
Indie HackersA zine about building LLM evals with animals and shoggoths
Most AI engineers haven't implemented evals and don't know how to go about doing it. We chose a digital zine format because newsletters are saturated, and there's a higher bar for quality in a zine.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos70%70% 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 released59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting43%43% predicted probability of success on Indie Hackers, 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, personal33%33% 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, revenue17%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, crypto13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Zi
Zine on LLM Evals44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zine on LLM Evals
Hacker News1Cl
Claude Code skills for building LLM evals50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Claude Code skills for building LLM evals
Hacker News2We
We wrote a book on LLM system evals with a bear and fox68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We wrote a book on LLM system evals with a bear and fox
Hacker News11
Stax61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Move your LLM evals from vibes to data
Product Hunt+178A/B TestingAg
Agent/LLM observability for tracing, cost, evals, and debugging69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Agent/LLM observability for tracing, cost, evals, and debugging
Hacker News1Bu
Building the LLM OS by Karpathy59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Building the LLM OS by Karpathy
Hacker News1We
We wrote a book on system evals68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We wrote a book on system evals
Hacker News3Ev
Evals Skills52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Evals Skills
Hacker News4Py
Pytest-evals – Simple LLM apps evaluation using pytest58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pytest-evals – Simple LLM apps evaluation using pytest
Hacker News13Bu
Building LLM Gameplay Mechanics with Guidance33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Building LLM Gameplay Mechanics with Guidance
Hacker News3