I’m building a tiny writing helper (Rephrazo) that does inline AI rewrites:
highlight text → hit a hotkey → get a paraphrase in a small popup → insert with one click.
Before going too deep, I wanted to understand if this solves a real problem or just sounds nice on paper, so I did something simple but uncomfortable:
I DM’d 100+ copywriters and writers on X and asked them how they edit.
No “growth hack”, just 1:1 messages like:
“Here’s what the tool does; would this be useful to you or not really? A short answer either way helps.”
Here’s what I learned.
1. Most copywriters already use AI — but in a very clumsy way
Common pattern:
- write the draft in Google Docs / Notion / email
- copy “awkward” sentences into ChatGPT or another AI tool
- ask for a clearer or punchier version
- paste back, then tweak manually
The pain wasn’t “I don’t have AI”.
The pain was context switching and the micro-friction of doing this dozens of times a day.
Several people basically said:
“I do this all the time. It works, but it’s annoying.”
That’s the exact behavior I’m trying to compress into one hotkey.
2. “I’d pay a few bucks — if I actually use it”
When I asked about pricing, I got a lot of variations of:
- “I have no idea what I’d pay until I’ve used it for a bit.”
- “If I used it daily, a small monthly fee is fine. If it’s once a week, probably not.”
So instead of trying to guess a “perfect” number, I’m now focusing on:
- getting people into early access
- measuring how often they actually trigger the tool
- then asking: at this level of usage, would this feel worth paying for at all?
The takeaway: people don’t want to price a hypothetical habit. They’ll only price something that’s already in their workflow.
3. “Don’t kill my voice” beats “make this perfect”
One of the strongest signals:
Copywriters care way more about preserving their voice than about perfect grammar.
Some quotes (paraphrased):
- “I’d rather keep the rough original than use something that sounds generic.”
- “If it makes me sound like LinkedIn, I won’t touch it.”
So the goal shifted from:
- “make this polished” → to → “make this clearer, same vibe”
This affects everything:
- prompt design
- how aggressive the rewrite is
- whether the tool presents itself as a “helper” vs. “co-writer”
4. The best feedback came from very short answers
Interestingly, the most helpful replies weren’t essays. They were simple things like:
- “Yes, I’d use this for emails, not for long-form.”
- “No, I already have a good system with ChatGPT tabs.”
- “I’d use this only if it’s faster than my current hack.”
Each short answer gave me:
- a persona
- a use case
- a condition for success
That was enough to adjust the direction.
5. What I’m doing next based on this
- Focusing first on email + landing page copy as the main use cases.
- Optimizing prompts for clarity + voice preservation, not “marketing-optimized” text.
- Tracking usage per session (how many times someone triggers a rewrite) as a key metric.
- Keeping early access low-friction: “try it, then tell me if you’d pay anything at all.”
Questions for Indie Hackers
If you’ve done similar DM-based validation:
- What questions gave you the clearest signal early on?
- How did you turn qualitative feedback (“this is nice”) into concrete product decisions?
- At what point did you feel confident enough to lock in pricing?
And if you’re a copywriter / heavy writer yourself and this resonates (or doesn’t), I’d love to hear it.
For context, here’s the current version of Rephrazo:
https://rephrazo-ai.app/
But even a one-line reply like “I would / wouldn’t use this because X” is super valuable at this stage.
This is gold-standard validation work. 100+ DMs is real effort, and the insights you pulled are actionable, not just "people seemed interested."
The "don't kill my voice" insight is huge. Most AI writing tools optimize for polish, but copywriters are selling their voice, not grammatical perfection. That's a completely different product direction than "make it better" - it's "make it clearer while keeping my fingerprint."
To your questions:
Clearest early signal: "I already do this, but it's annoying" is the dream response. Someone already has the behavior, already experiences the friction - you're just removing steps. Much easier than creating new habits.
Qualitative → decisions: I count frequency of similar feedback. If 3+ people independently mention the same thing (like voice preservation), that's a pattern worth designing around. One person saying something is an anecdote; five people saying it unprompted is data.
Pricing confidence: Honestly, I'd delay this until you see usage-per-session numbers. Let people use it free for 2-3 weeks, then ask "given how much you've used this, what would you pay?" The answer is way more accurate than hypothetical pricing.
What's your response rate been on those DMs?