Fl

Floode – Inbox 0 for DMs

Hacker News

Floode – Inbox 0 for DMs

Hi, Currently working on Floode. I am a 2nd time founder who ran my sales/networking/fundraising using social media DMs. So we have built a tool that combines all DMs at the same place and make it faster to sort/manage them with shortcuts, to reach inbox 0 as fast as possible. Would love your feedback!

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, using · Missing: mac, agents, macos
89%89% 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
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

In
Inboxs – Twitter DMs Inbox for Professionals28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inboxs – Twitter DMs Inbox for Professionals

Hacker News2
Inboxs
Inboxs48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter DMs CRM and Productivity Inbox

Indie Hackers1$800/mocommunication
Pu
Purge all your Slack DMs55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Purge all your Slack DMs

Hacker News3
Du
Dungeons Imagineer – GPT for D&D DMs36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dungeons Imagineer – GPT for D&D DMs

Hacker News2
In
InMoat – a moat for your inbox43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

InMoat – a moat for your inbox

Hacker News1
Je
Jeffrey Epstein's Inbox49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jeffrey Epstein's Inbox

Hacker News14
Co
Composed – A tollbooth for your inbox43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Composed – A tollbooth for your inbox

Hacker News5
Mailman
Mailman53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your inbox, tamed.

Indie Hackers3productivity
Rythm
Rythm33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A bouncer for your inbox

Indie Hackerscommitment-full-time
X
X DMs suck so we built a better one68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

X DMs suck so we built a better one

Hacker News3