An
Antigravity AI Directory – Premium Prompts for Google's New IDE
Hacker NewsAntigravity AI Directory – Premium Prompts for Google's New IDE
Antigravity AI Directory is a game-changer for developers looking to leverage autonomous AI workflows, premium prompts and MCPs. Its focus on modern development stacks and real-time collaboration makes building scalable, maintainable apps easier than ever. Excited to see how this revolutionizes AI-driven software development!
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mcp, google, apps · Missing: mac, agents, macos60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive17%17% 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, 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, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Antigravity for Raycast91%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Keyboard-first control for Google Antigravity IDE
Product Hunt+193ProductivityAntigravity AI Directory62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Smart AI workflows, MCPs and premium prompts for development
Indie Hackerscommitment-side-projectID
IDE for Prompts62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IDE for Prompts
Hacker News2Ch
ChangeOver – A new IDE73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChangeOver – A new IDE
Hacker News22
Google Antigravity97%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run and monitor several coding agents at once in an IDE
Product Hunt+590Developer ToolsSubstats51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Premium newsletter directory
Indie Hackerscommitment-side-projectKiro IDE19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
更快写代码的 AI 助手型 IDE | Kiro IDE
Indie Hackers1aiDi
Directory of Breeding Birds in Puerto Rico36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Directory of Breeding Birds in Puerto Rico
Hacker News1Di
Directory of NextJS Starters and Boilerplates35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Directory of NextJS Starters and Boilerplates
Hacker News2Di
Directory of mashups36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Directory of mashups
Hacker News2