Are Solana alerting tools solving the wrong problem: speed instead of trustworthy selection?
I’m trying to pressure-test a product assumption with people who have actually built Solana indexers, bots, scanners or market-data systems.
My current thesis is:
Detecting an event quickly is only the first part. The harder problem is deciding whether that event deserves a trader’s attention without converting stale, incomplete or conflicting data into a confident-looking alert.
I may be wrong, so I’d value the builder perspective:
- Which data or architecture failure most often creates false confidence in a user-facing alert?
- What evidence should always be visible to the user instead of being hidden behind a single score?
- Where is the greater user value: lower latency, stronger filtering, clearer explanation, or post-alert monitoring?
- Which unknown or unavailable state should force a system to suppress an alert entirely?
- If you were building the first useful version, what would you deliberately leave out?
I’m especially interested in disagreements with the premise rather than confirmation.
Disclosure: I’m doing product research for an early-stage Solana market-intelligence project. Nothing is live, for sale or recruiting testers, and I’m not asking for code or proprietary details.