i've been thinking a lot about nostr:nprofile1qyjhwumn8ghj7cn40faxymm594ex2mrp0yhxyatvd35hx6rzda6kuare9e3k7mgprfmhxue69uhkummnw3ezuum4v3hkxctjd3hhxtnrdaksqgxfax7upvpuyx7nx7sjmn6mgc75nld0azz25y4mj5xpst57fklfhqy6fmt5 lately. yeah, in its current form it can feel like spam or cheap engagement farming, or tacky at best. nobody really wants their feed clogged with random bounty hunting.

but the more i think about it, the more i realize there's something deeper hiding under the noise. buzzbot actually taps into the raw engine of nostr itself. as we always discuss: value-for-value, peer-to-peer connection, permissionless incentives.

traditional social media gives you "likes" and "shares" and some empty metrics. buzzbot (accidentally or not) gives you value exchange. real sats, real signals, real skin in the game. that's a massive unlock most people don't appreciate yet myself included.

imo, the problem isn't buzzbot's existence. it's the calibration. how do we fine-tune it so it feels less like spam, and more like organic engagement?

some ideas (still very rough and i don't really know how else to put them together), but here they are. jsut some food for thought.

- reward meaningful comments heavier, not random ones. how? im not sure of it yet.

- adjust payout splits dynamically based on engagement quality. still dont know how exactly. but i believe that should be the part of calibration

- introduce reputation scoring for buzzers and posters

- allow bounties that reward new follows or verified zaps (not just randomness)

- randomness is what makes it look bad right now. mreplace randomness with something more meaningful. this will also help eliminate sat farming bots which is the most annoying part right now.

- a bot farm with 200+ accounts could easily game the system, trick the purpose, and even trigger the algorithm to push every buzzbot note into trending which is basically whats happening right now.

these tools are kinda rough to build and manage but under the surface, they're a glimpse of what makes nostr unstoppable. every interaction has real weight, meaning, and real value. the challenge is figuring out how to distribute that value properly across these kinds of interactions.