Peridot
Indie HackersThe searchable memory for your customer interviews
I've spent the last six years conducting user interviews. The conversations were valuable but turning them into insights was painfully slow.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos85%85% 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.
Hacker NewsStrong engagement from HN community · Strong signals: lua, io · Missing: https docs, excited, just released57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% 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, personal33%33% 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, revenue18%18% 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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Aptitude71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Customer interviews, conducted and analyzed by AI
Product Hunt+243Design ToolsCl
Clark Hash, 32x smaller searchable sketches for embeddings68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clark Hash, 32x smaller searchable sketches for embeddings
Hacker News1Co
ConGrep – Searchable Congress52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ConGrep – Searchable Congress
Hacker News2QuickTranscript23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A searchable memory for every coding tutorial you've watched
Indie Hackers1aiCustomer Discovery Sprints41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Done-for-you customer interviews.
Indie Hackerscommitment-side-projectCustomer Discovery Sprints61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Done for you customer interviews.
Indie Hackerscommitment-side-projectTa
TargetBite, Automating Customer Interviews36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TargetBite, Automating Customer Interviews
Hacker News120
2023 Market Outlooks, Searchable66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2023 Market Outlooks, Searchable
Hacker News2Sh
SharpSkill – I was bored to fail my interviews for no reasons58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SharpSkill – I was bored to fail my interviews for no reasons
Hacker News3Al
Algorithms for Interviews57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Algorithms for Interviews
Hacker News3