Bu

Built a reading experience for DTV by Michael Moritz

Hacker News

Built a reading experience for DTV by Michael Moritz

I came across DTV a while back on X. Someone ended up taking photos and converting it into a epub, so spent the weekend creating a great reading experience around it to make it more accessible. LMK if anything's broken and will fix. Thanks

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% 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, revenue
14%14% 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, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

un
unix subprocesses for Erlang with reading with backpressure72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

unix subprocesses for Erlang with reading with backpressure

Hacker News8
Th
The SQ3R Reading Method28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The SQ3R Reading Method

Hacker News10
Footnote
Footnote30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Reading. Remembered.

Indie Hackers1communication
Resurefy
Resurefy34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reinvent Reading

Indie Hackers3writing
An
An Attack on Titan Experience Made with ThreeJS42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An Attack on Titan Experience Made with ThreeJS

Hacker News2
Voen
Voen48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Contactless dining experience.

Indie Hackerscommitment-full-time
Currently Reading
Currently Reading54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keep motivated about your reading habits

Indie Hackers1books
Immerziva
Immerziva49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transform reading into a cinematic experience with audio

Product Hunt+71eBook Reader
Pl
Ploter – the all-ine-one reading app35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ploter – the all-ine-one reading app

Hacker News1
ReadHero
ReadHero49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The All in One Reading App

Product Hunt+145Productivity