MailAI – Automate Any Workflow in Plain English with Gmail and Stripe

Hacker News

Hey HN, We built MailAI - AI agents that automate workflows in plain English by connecting Gmail and Stripe. The Problem: Founders waste 10+ hours weekly on repetitive tasks: - Responding to invoice inquiries - Tracking payments - Sending payment reminders - Following up on late payments - Managing customer communication Most "automation" tools require complex setup, coding, or learning new interfaces. We wanted something different. The Solution: Connect Gmail and Stripe. Describe what you want in plain English. AI automates it 24/7. Real Examples: "When a customer emails asking about their invoice, auto-respond with the payment link from Stripe. Track all responses in a spreadsheet." "Monitor Stripe for new payments. Send a thank you email via Gmail. Update my CRM automatically." "Track unpaid invoices. Send reminder emails 3 days before due. If overdue, send a follow-up. Escalate after 7 days." "When a customer replies to an invoice email, check their payment status in Stripe and auto-respond with next steps." "Monitor subscriptions. If any cancel, send a retention email with a special offer." But It's Not Just Payments: "Auto-respond to customer support questions using my FAQ docs." "Extract data from emails and update my spreadsheet." "Coordinate meeting times automatically." "Track competitor mentions and send me alerts." Literally anything you can describe in plain English. Technical Details: - OAuth 2.0 authentication (secure, no API keys stored) - CASA-verified enterprise security - Runs in isolated sandboxes - 24/7 execution - Plain English natural language processing - Multi-step workflow support Why This Matters: Unlike other tools that just suggest actions or require complex setup, MailAI actually automates everything. No coding. No complex configuration. Just describe what you want. We're a 2-founder team that spent 6 months building this because we were drowning in repetitive tasks ourselves. Try It: 7-day free trial: https://mailai.live We'd Love Feedback On: 1. What other integrations would be most useful? (Google Sheets, Slack, Zapier?) 2. What payment automation pain points are we missing? 3. What workflows would you automate if you could just describe them? 4. Security concerns - anything we should address? Built by three engineers who were tired of wasting time on repetitive work.

Visit product View on Hacker NewsOct 25, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

96%96% 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

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, google · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Automate your workflow in plain English46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate your workflow in plain English

Hacker News12

Floma45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate anything with plain English.

Indie Hackerscommitment-side-project

Bearify Product Beta Launch71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate any workflow in plain English

Product Hunt+8

Swinvo - Automate Any Outlook Task with Plain English49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Swinvo - Automate Any Outlook Task with Plain English

Hacker News2

Deha42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Deha enables you to work with data in plain English

Indie Hackers

Backtest a futures strategy described in plain English41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backtest a futures strategy described in plain English

Hacker News5

Querri36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data analysis, now in plain English, go formula-less

Indie Hackers

Logen65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Describe your app in plain English — Logen builds, secures,

Indie Hackerscommitment-full-time

Kiko53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Analyze Data via Plain English (Text2SQL)

Indie Hackers1ai

Swinvo – Use Plain English to Automate Any Outlook Task57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Swinvo – Use Plain English to Automate Any Outlook Task

Hacker News1

Browse all products Analyze your launch