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1 week in: 3 things I got wrong about cold outreach (before sending a single email)

Shipped my product last week. Plan was: 100 cold emails to founders by Friday using a sequencer with a warmed-up domain. Pulled the brakes on day 3, before sending anything. Now I'm building a manual list of 20 names by hand, no tools. First batch goes out this week.

Here's what made me flip — three things I'd assumed were right, that turned out backwards.

  1. Cold email tooling is a vanity step.

I spent two days reading about SPF, DKIM, DMARC, inbox warmup, sequencer setup, AI personalization. None of it mattered yet. The actual blocker: I didn't know who to email. I had a vague ICP ("small SaaS teams") and a list of company names pulled from random Twitter threads.

A sequencer with bad ICP is just scaled spam. Same domain rep cost, much wider blast radius. The tool stack would've let me waste 100 attempts before I figured out the ICP was wrong.

  1. "Founder advice" in DMs is often lead-gen in disguise.

In the first 48 hours after launch, two commenters showed up with the same shape: abstract wisdom ("the decision sitting underneath the feedback"), zero specifics, no example, no question — closing with "drop your email and I'll send the tighter version."

That's not peer founder advice. That's a lead capture funnel using your launch as the trigger.

The tell: real peer founders drop one concrete heuristic in public ("I trust users who unprompted come back in week 2, not week 1"). Lead-gen coaches give abstract noun phrases and route to email. If they already have "the tighter version" pre-packaged, you're the lead.

  1. Five minutes of manual research is the actual moat.

Now I'm doing this: open LinkedIn, find one specific recent post by my actual target (a Head of Data or founder), write an 80-word email that opens with a real reference to what they said. ~10 minutes per email.

The research step feels like distraction work. I'm betting that's exactly why most founders skip it — and why the inbox of a Head of Data is full of "AI-powered platform for SaaS teams" pitches that get archived in 2 seconds. One real, specific reference might just break through.

Will report back after the first batch lands.

For those of you who've made the manual → automated tipping point on cold outreach — what was the threshold for you? Volume? Reply-rate stability? Something else?

— Daniel, building saemi.at

on June 17, 2026
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    The tipping point for me was when the follow-up started slipping. The first email is easy to send consistently. Everything after that falls apart when other work picks up.
    Once the list got past around 50 leads manual just became unreliable. Automated the full sequence instead. Airtable for the list, Make.com pulling one lead at a time on a schedule, Brevo for delivery. Nothing gets sent twice, runs in the background all day.
    Above that threshold the inconsistency becomes the problem not the copy.
    Wrote up the full setup here if useful: https://www.indiehackers.com/post/i-sent-5-700-cold-emails-automatically-71-open-rate-here-is-what-i-actually-built-4dd90108f6