Resea AI
Indie HackersAcademic AI Agent
Resea AI is an AI-powered academic agent that helps you think, write, and cite smarter. From deep research to accurate citations, it streamlines your workflow and lets you create high-quality content in various domains.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent · Missing: mac, agents, macos74%74% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% 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 released30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting28%28% predicted probability of success on Indie Hackers, 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, revenue20%20% 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, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Te
TenProblems – democratizing academic debates for the 2020s32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TenProblems – democratizing academic debates for the 2020s
Hacker News1Ca
Cassyni – Relaunching Academic Seminars41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cassyni – Relaunching Academic Seminars
Hacker News14David Johnson40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Academic Writers
Indie Hackerscommitment-full-timeAI
AI Agent in Jupyter – Runcell41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agent in Jupyter – Runcell
Hacker News8MV
MVAR – Deterministic sink enforcement for AI agent20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MVAR – Deterministic sink enforcement for AI agent
Hacker News1Kollab14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All-in-one AI Agent
Indie HackersKollab37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All-in-one AI Agent
Indie Hackerscommitment-full-timeLinkedNav14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agent
Indie HackersLinkedNav14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agent
Indie Hackers
Bilbo84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Metabase AI Agent
Product Hunt+171Chrome Extensions