Hey Indie Hackers đź‘‹
I’m building RINDA at Grinda AI — an AI-powered global sales automation tool for Korean SMEs.
A lot of small B2B teams want to sell internationally, but outbound quickly turns into a time sink. When you’re targeting multiple countries, the workflow gets messy fast:
Finding the right buyer companies (not just “any” companies)
Figuring out who the decision makers are
Writing cold emails that don’t read like templates
Staying consistent with follow-ups across markets and languages
Keeping context (why this lead matters) without living in spreadsheets
In practice, teams either burn out doing manual research + outreach, or they outsource it (often expensive, inconsistent, and hard to iterate).
RINDA is built to move you from “who should we contact?” → “send a high-quality outbound campaign” faster.
Core capabilities:
Buyer discovery: find companies that match your ICP (company-level research)
Lead generation: identify the roles/contacts you should reach out to
Email automation: run cold email campaigns with follow-ups
Sales intelligence: keep ICP-fit signals + context so you don’t lose the “why this prospect” reasoning
Categories: Sales Intelligence · Lead Generation · Email Automation · AI Sales Tools (B2B)
Keywords: global sales automation, B2B lead generation, AI sales tools, cold email automation, buyer discovery
Founders, SDR/BD teams, and small B2B teams that need to do outbound—especially if you’re selling internationally and can’t afford the time cost of manual research.
In your outbound workflow, what’s the biggest bottleneck: research, contacts, writing, or follow-ups?
What makes you trust (or avoid) AI-assisted outbound tools?
If you’ve done international prospecting, what’s hardest: ICP targeting, language, deliverability, or data quality?
Product page:
https://www.rinda.ai/?utm_source=indie_hackers&utm_medium=referral&utm_campaign=ih_launch_post&utm_content=body_link
Thanks for reading — happy to answer questions, and I’d really appreciate blunt feedback.