Bl

Bloodborne LFG – Online Matchmaking for Bloodborne

Hacker News

Bloodborne LFG – Online Matchmaking for Bloodborne

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
79%79% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% 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
46%46% 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
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Do
DownToJam, Matchmaking for Musicians46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DownToJam, Matchmaking for Musicians

Hacker News1
Hullo - AI Matchmaking
Hullo - AI Matchmaking55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-powered matchmaking for more intentional connections.

Indie Hackers1$4,500/moai
FlexaStay
FlexaStay23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Travel matchmaking

Product Hunt+16
Co
Codenames with matchmaking and timer21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Codenames with matchmaking and timer

Hacker News1
Peach App
Peach App44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MatchMaking through Music

Indie Hackers1ai
Scrim.app
Scrim.app16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A CS:GO matchmaking service

Indie Hackerscommitment-full-time
Ne
New online version of codenames with matchmaking and timer25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New online version of codenames with matchmaking and timer

Hacker News3
Pr
Project-based cofounder matchmaking69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Project-based cofounder matchmaking

Hacker News1
Ta
Tango – A concurrent matchmaking service in Go (for fun)60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tango – A concurrent matchmaking service in Go (for fun)

Hacker News2
Velin Privé
Velin Privé18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Private matchmaking for founders and accomplished profession

Indie Hackers