schleiss.io
Indie HackersBook reviews, notes and summaries
It's my blog where I write about all the things I have learned to share it with others.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Strong signals: notes · Missing: mac, agents, macos48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting37%37% predicted probability of success on Indie Hackers, 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, crypto22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal22%22% 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
Readsome62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Book summaries
Indie Hackerscommitment-full-timeTa
Tarik's Book Reviews46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tarik's Book Reviews
Hacker News1rewindr.io76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reviews Collector
Indie Hackers2$100/mob2bI
I made wits.io where writers can earn money with book summaries66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made wits.io where writers can earn money with book summaries
Hacker News79I
I made a website with nonfiction book summaries62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a website with nonfiction book summaries
Hacker News7I
I wrote 100 book summaries60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I wrote 100 book summaries
Hacker News8Bo
Bookstash - Read book summaries58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bookstash - Read book summaries
Hacker News1Da
DailyDigest.io – daily summaries of subreddits sent via email72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DailyDigest.io – daily summaries of subreddits sent via email
Hacker News14I
I made a site with business book summaries62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a site with business book summaries
Hacker News1TubeMemo32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Notes, Summaries & Insights from Video
Indie Hackerscommitment-full-time