Bloo – Automate and Route Inbound Emails to Anywhere

Hacker News

Hello HN community, I'm excited to show a project I've been working on called Bloo ( https://app.trybloo.co ): your go-to for efficient inbound email routing. Bloo is designed to help you automate the routing of your inbound emails to a plethora of platforms, including WhatsApp, personal Gmail, support tools like Intercom and Slack, webhooks for developers and a lot more. Current Capabilities: The demo I've built currently showcases the WhatsApp automation with a static domain. It's a straightforward demonstration of how Bloo can streamline your email workflows. A Note: The current version is not mobile responsive – my apologies for any inconvenience this might cause. Looking for Feedback: I am keen on refining Bloo based on the community’s feedback. I would greatly appreciate any thoughts on: User experience and the setup process. Additional features you'd like to see. Any other platforms you'd wish Bloo to support. Thank you!

Visit product View on Hacker NewsNov 8, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, user, email · Missing: mac, agents, macos

87%87% 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, io, including · Missing: https docs, just released, exist

66%66% 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 · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, efficient · Missing: plus, intuitive, reviews

41%41% 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

10%10% 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

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