St

Steemroll.io – realtime feed of Steemit comments

Hacker News

Steemroll.io – realtime feed of Steemit comments

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
88%88% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
71%71% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% 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
45%45% 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
36%36% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
9%9% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Tr
Trash of SF – Realtime Feed of Trash in San Francisco70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trash of SF – Realtime Feed of Trash in San Francisco

Hacker News3
Fr
Frequency.io a realtime news feed for your team59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Frequency.io a realtime news feed for your team

Hacker News1
Se
See PG's HN comments in your Twitter feed61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See PG's HN comments in your Twitter feed

Hacker News8
Yp
Ypander - Read/write/upvote hackernews comments from within the feed55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ypander - Read/write/upvote hackernews comments from within the feed

Hacker News1
livestate.io
livestate.io48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Realtime Data

Indie Hackers1open-source
HN
HN Notifier Realtime(ish) Notifications for Comments on Your HN Posts66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Notifier Realtime(ish) Notifications for Comments on Your HN Posts

Hacker News6
Yo
YouTube RealTime displays comments when they are relevant52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YouTube RealTime displays comments when they are relevant

Hacker News1
42
420 Broadcast – A realtime Cannabis Industry news feed49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

420 Broadcast – A realtime Cannabis Industry news feed

Hacker News1
Em
Embeddable hackernews comments69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Embeddable hackernews comments

Hacker News3
Le
Lectio, contextualized comments for lectures75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lectio, contextualized comments for lectures

Hacker News21