Actual performance
149upvotes
10comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released38%38% 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, intuitive26%26% 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, revenue23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
PromptLens35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prompt testing and evaluation platform
Indie Hackers1aiRu
Rues an Expression Evaluation Sidecar56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rues an Expression Evaluation Sidecar
Hacker News1De
DeepEval – Evaluation and Unit Testing for LLMs43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DeepEval – Evaluation and Unit Testing for LLMs
Hacker News18Op
Open Evaluation53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open Evaluation
Hacker News3Re
Reprompt – Collaborative Prompt Testing36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reprompt – Collaborative Prompt Testing
Hacker News4Pr
Prompt Injection Testing Tool – GitHub18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prompt Injection Testing Tool – GitHub
Hacker News1Fu
Fuzzpy, a fuzzer for testing CPython33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fuzzpy, a fuzzer for testing CPython
Hacker News6Ch
ChefSpec – RSpec testing for Chef Cookbooks33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChefSpec – RSpec testing for Chef Cookbooks
Hacker News3A/
A/B testing baked into RequireJS33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A/B testing baked into RequireJS
Hacker News1A/
A/B testing in Golang with PlanOut30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A/B testing in Golang with PlanOut
Hacker News8