Loat – Grow MRR with automated emails

Hacker News

I built loat, born from my frustration with building a high-trust product in the complex tax space. We had to create different onboarding sequences for each product, educational nurture campaigns for newborn entrepreneurs, and tax tips newsletters. Existing tools (shoutout to Loops and SendGrid) are great, but creating, writing, and optimizing these campaigns consumed a massive chunk of my time. Hiring a dedicated CRM wasn’t an option for us. We initially built internal tools to automate this and realized other founders could benefit from this approach. So, we've turned our solution into loat, a dedicated platform that lets founders maintain lean teams and still maximize email as a powerful growth and onboarding channel. I’d love to hear: does this solve a real problem for you? Was anything confusing? What would make it more useful?

Visit product View on Hacker NewsApr 25, 2025

Share card

Actual performance

4points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: maximize · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

70%70% 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: entrepreneurs, education · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: mrr, growth · Missing: arr, revenue, profit

33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

30%30% predicted probability of success on AppSumo, 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

Similar products

palabra29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A no-code tool for your automated emails

Indie Hackers15analytics

Scoop – automated carpooling76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Scoop – automated carpooling

Hacker News6

Automated Raspberry Surveillance with Ansible48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automated Raspberry Surveillance with Ansible

Hacker News4

Snapshotly – Automated DigitalOcean Backups54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Snapshotly – Automated DigitalOcean Backups

Hacker News24

Automated Timelapses of Boston Viewed from Historic Monuments50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automated Timelapses of Boston Viewed from Historic Monuments

Hacker News3

Top Quant/Algotrading Githubs Automated80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Top Quant/Algotrading Githubs Automated

Hacker News5

OpenAEDMap – Automated External Defibrillators from OpenStreetMap59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenAEDMap – Automated External Defibrillators from OpenStreetMap

Hacker News14

Expressio – Automated Internationalization50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Expressio – Automated Internationalization

Hacker News2

LangevinAI – Automated FP&A for Everyone21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LangevinAI – Automated FP&A for Everyone

Hacker News2

StealthBox – Dockerized Automated Torrent Seedbox50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StealthBox – Dockerized Automated Torrent Seedbox

Hacker News4

Browse all products Analyze your launch