Pa
Paul Graham's essays as an audio playlist
Hacker NewsPaul Graham's essays as an audio playlist
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: audio · Missing: web3, chat, crypto92%92% predicted probability of success on BetaList, 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 · Missing: mac, agents, macos66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · 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, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Pa
Paul Graham Audio Essays48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Paul Graham Audio Essays
Hacker News28Pa
Paul Graham Essays, but in Audio49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Paul Graham Essays, but in Audio
Hacker News3I
I made an audio versions of all Paul Graham's essays (and more)64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an audio versions of all Paul Graham's essays (and more)
Hacker News4Ju
Jumble – Essays on the go #PaulInYourPocket37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jumble – Essays on the go #PaulInYourPocket
Hacker News3Pa
Paul Graham's Essays ordered by Popularity58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Paul Graham's Essays ordered by Popularity
Hacker News1No
NoDJ – Your crowdsourced playlist46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NoDJ – Your crowdsourced playlist
Hacker News9Co
Coachella playlist / streamer55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Coachella playlist / streamer
Hacker News10Ch
Chat with 229 Essays from Paul Graham47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chat with 229 Essays from Paul Graham
Hacker News2Cr
Create your own playlist for SXSW 201456%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create your own playlist for SXSW 2014
Hacker News2Human Written Essays24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get your argumentative essays on the Go!
Indie Hackerscommitment-full-time