Ch

ChainForge, a visual tool for evaluating LLM responses

Hacker News

ChainForge, a visual tool for evaluating LLM responses

Hey all! I've been developing a prompt engineering interface that helps users query LLMs with parametrized prompts and compare responses across models. It's an early demo, but already we've used it internally in my academic lab to evaluate and choose prompts for other research projects that involve building LLM applications. Let me know what you think, or if you encounter any bugs or issues. Blog post here: https://ianarawjo.medium.com/introducing-chainforge-a-visual...

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: model, user, models · Missing: mac, agents, macos
85%85% 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.
AppSumoStrong fit for a featured deal · Strong signals: interface, users · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, para · Missing: mobile apps, ios, personal
41%41% 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
11%11% 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

Vi
Visual Charting Tool55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visual Charting Tool

Hacker News18
Pr
Prompt-scrub – local-first PII redaction for LLM prompts and responses28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prompt-scrub – local-first PII redaction for LLM prompts and responses

Hacker News4
Op
Open Responses – Drop-In OpenAI Responses API Alternative for Any LLM53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Responses – Drop-In OpenAI Responses API Alternative for Any LLM

Hacker News13
NORMA
NORMA44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A visual composition tool powered by harmonic geometry

Indie Hackers1art
Ne
Neuronic – Define AI functions in your apps with predictable responses38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Neuronic – Define AI functions in your apps with predictable responses

Hacker News1
Lo
Local LLM AIME benchmarking tool56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Local LLM AIME benchmarking tool

Hacker News1
Ch
Chorus – a Chrome extension to compare LLM responses30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chorus – a Chrome extension to compare LLM responses

Hacker News1
Re
Redis-LLM – Redis module integrates LLM with Redis45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Redis-LLM – Redis module integrates LLM with Redis

Hacker News2
Li
LitLLM the Spiciest LLM Wrapper34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LitLLM the Spiciest LLM Wrapper

Hacker News1
LLM Hotkey
LLM Hotkey39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRROther