BY

BYRD – Bring Your Restricted Documents

Hacker News

BYRD – Bring Your Restricted Documents

Share card

Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
69%69% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% 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, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

An
Analyzing Documents with Three Sigma39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyzing Documents with Three Sigma

Hacker News1
Do
Doksbin - Pastebin for Documents49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Doksbin - Pastebin for Documents

Hacker News7
Re
Redis-Automerge: CRDT Documents for Redis52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Redis-Automerge: CRDT Documents for Redis

Hacker News5
Pa
Parseflow, how to parse documents when you're broke49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Parseflow, how to parse documents when you're broke

Hacker News2
La
LavaSend - SnapChat for documents71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LavaSend - SnapChat for documents

Hacker News1
Br
Bring Myspace Back40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bring Myspace Back

Hacker News1
Tr
Trees to be planted in your region to bring back CO2 to normal levels41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trees to be planted in your region to bring back CO2 to normal levels

Hacker News1
I'
I'm trying to bring Async to Django ORM49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm trying to bring Async to Django ORM

Hacker News6
HeatSense
HeatSense30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bring The Heat

Indie Hackers1health-fitness
Bunni
Bunni60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI for documents

Indie Hackers1ai