Si
Similar user search for Hacker News
Hacker NewsSimilar user search for Hacker News
features: 1. find similar users 2. similarity and dissimilarity search for comments 3. Browse user comments from oldest first 4. Flattened comments in reverse chronological order on stories 5. Find similar stories Self hosted on a single machine. Probably not ready, but oh well… Instructions for free trial: (create account -> confirm email -> request free trial from profile page). Or download ios app: https://apps.apple.com/in/app/hacker-read/id6479697844
Share cardActual performance
9points
12comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting72%72% 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: mac, apple, apps · Missing: agents, macos, agent58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps, users · Missing: mobile apps, personal, entrepreneurs52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive45%45% 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, revenue16%16% 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, crypto10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ha
Hacker News User Demographics68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News User Demographics
Hacker News3Ha
Hacker News user blogroll78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News user blogroll
Hacker News937Ha
Hacker News Search67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News Search
Hacker News2Ha
Hacker News Search67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News Search
Hacker News1Do
Download Hacker News user contributions; get statistics54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Download Hacker News user contributions; get statistics
Hacker News3f.
f.ilter.us [filtered Hacker News]61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
f.ilter.us [filtered Hacker News]
Hacker News2Ha
Hacker News for bitcoins68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News for bitcoins
Hacker News3Pu
PubUp, "Hacker News" for researchers & scientists75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PubUp, "Hacker News" for researchers & scientists
Hacker News40Ha
Hacker News Toronto Meetup62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News Toronto Meetup
Hacker News2Ha
Hacker News for "Hacker News for 'X'"68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacker News for "Hacker News for 'X'"
Hacker News2