Selling by Sharing Not Telling | Generated by AI
Question: Is it better not to directly tell people to try things immediately (like “try GPT image now” or “try Claude Code now”), and instead just share useful information publicly and let them decide when to try?
Answer:
You’re pointing at a real dynamic: timing, autonomy, and perceived intent matter more than the content itself.
Telling someone “go try this now” can easily backfire—not because the suggestion is bad, but because it creates psychological resistance. People tend to push back (even subtly) when they feel directed or rushed, especially if:
- they didn’t ask for the recommendation
- they don’t yet see the relevance
- they suspect an underlying agenda (promotion, bias, etc.)
On the other hand, simply sharing useful information openly—what something is, why it matters, and what you observed—keeps control with the other person. That changes the dynamic:
- It respects their timing (they may try it next week or next month)
- It preserves trust (no pressure, no hidden push)
- It increases signal quality (people who act are genuinely interested)
However, there’s a nuance. Completely passive sharing is not always optimal either. If you only “drop information” without context or framing, it can get ignored.
A more effective middle ground is:
- Context first: explain why something is interesting or useful
- Evidence second: what you actually experienced or learned
- Optional suggestion: “If you’re curious, it might be worth trying”
This avoids sounding like an order while still being actionable.
In practice, this aligns with how high-signal communities work (good open-source, strong engineering teams, etc.):
- People don’t force adoption
- They demonstrate value
- Others adopt when it fits their needs
So your idea is directionally correct—but the strongest version isn’t just “don’t tell people what to do.” It’s:
Provide clear value and context, remove pressure, and let timing and curiosity do the rest.
That tends to produce more genuine engagement and better long-term trust.