Th
The web is dead. Keep this app alive
Hacker NewsThe web is dead. Keep this app alive
Longlivethis is a "living" web app that pays for its own hosting an inference. Top proposal gets implemented every hour! Propose new features and vote on them to help evolve the app and keep it alive. It's an experiment: how long can it stay alive? Propose something cool and help it live on. I think the future of the internet is generative. If you think this is interesting, feel free to get in touch :)
Share cardActual performance
5points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos61%61% 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 · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive28%28% 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, revenue19%19% 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.
Incorrect prediction on native model
Similar products
Th
The Dead Web62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Dead Web
Hacker News2Ke
Keep your Heroku app alive31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Keep your Heroku app alive
Hacker News3Ca
Carl Jung's Seven Sermons to the Dead55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Carl Jung's Seven Sermons to the Dead
Hacker News1I
I resurrected one of the top dead Show HNs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I resurrected one of the top dead Show HNs
Hacker News8I
I resurrected one of the top dead Show HNs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I resurrected one of the top dead Show HNs
Hacker News5Th
The Dead Sea Scrolls Visualized66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Dead Sea Scrolls Visualized
Hacker News1
Indy AI by Contra40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Job boards are dead. Your network is alive
Product Hunt+1,070ProductivityA
A dead code killer for Erlang75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A dead code killer for Erlang
Hacker News103R.
R.I.P.Link – Find dead links on the web57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
R.I.P.Link – Find dead links on the web
Hacker News4FormWatch.app64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UptimeRobot for web forms. Dead simple alerts. Free.
Indie Hackers1saas