Launch Intel
Kn

Knit – A Better LLM Playground

Hacker News

Knit – A Better LLM Playground

Knit was created to solve pains of other LLM playgrounds. Some of the highlights: - Smart prompt builder, create prompt with simple requirement and few shot learning, fast and effortlessly. - Function call simulation, visualize the function callings and you can also setup a mocked value to return. - Support OpenAI/Anthropic/Azure models. - Manage prompts with projects and members. - And so much more! I have been developing Knit by myself for over 4 months now, and am looking for ways to improve it. Any feedback is appreciated.

Visit productView on Hacker NewsAug 8, 2023
Share card

Actual performance

14points
4comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, visual · Missing: mac, agents, macos
75%75% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, visualize, way · Missing: mobile apps, ios, personal
66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: builder · Missing: plus, platform, intuitive
63%63% 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
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Na
Nanointerpret – LLM Interpretability Playground49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nanointerpret – LLM Interpretability Playground

Hacker News5
An
Ansible Playground47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ansible Playground

Hacker News5
An
Angular2 Playground56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Angular2 Playground

Hacker News3
A
A vagrant-controled playground for trying out ansible41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A vagrant-controled playground for trying out ansible

Hacker News4
Re
Regexly – WYSIWYG Regex Playground for JavaScripters56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Regexly – WYSIWYG Regex Playground for JavaScripters

Hacker News7
A
A playground for Jargon (lemmatizer)56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A playground for Jargon (lemmatizer)

Hacker News1
Fi
FireQL – A Handy GraphQL Playground64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FireQL – A Handy GraphQL Playground

Hacker News4
Go
Go WASM Playground62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go WASM Playground

Hacker News3
We
WebGL Playground67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WebGL Playground

Hacker News89
Be
Bezier Playground56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bezier Playground

Hacker News4
Browse all productsAnalyze your launch