La
Lagrange – A Beautiful Gemini & Gopher Client
Hacker NewsLagrange – A Beautiful Gemini & Gopher Client
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: gemini · Missing: mac, agents, macos63%63% 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 HackersIH features products with proven revenue · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto39%39% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% 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, personal26%26% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ji
Jimmy – A Gemini Client for macOS31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jimmy – A Gemini Client for macOS
Hacker News4A
A beautiful Forrst client for iPhone51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A beautiful Forrst client for iPhone
Hacker News2Go
Golang Clarifai Client34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Golang Clarifai Client
Hacker News11F#
F# Kafka client57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
F# Kafka client
Hacker News4Ye
Yet Another HackerNews client57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Yet Another HackerNews client
Hacker News5I
I couldn't find an impala client, so I made one41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I couldn't find an impala client, so I made one
Hacker News1A
A Dogecoin client in Ruby39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Dogecoin client in Ruby
Hacker News1Ru
Ruby client for Sparkfun's Phant39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ruby client for Sparkfun's Phant
Hacker News1El
Elasticsearch R client64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Elasticsearch R client
Hacker News8Cl
Client side rsync lbirary41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Client side rsync lbirary
Hacker News2