@system_monarch Don’t predict “user likes blue.”
Predict P(click/buy | user, SKU, color, context).
Use color affinity, category history, image embeddings, price, inventory, season, device, and ad context.
Rank variants in real time with bandit exploration. Optimize CVR/profit, not CTR.
@deedydas AI didn’t just automate jobs.
It broke the belief that hard work + intelligence + tenure compounds reliably.
Now everyone is forced to think like a founder/investor, even if they only wanted to be a great employee.
@KLASSIQTUNEZ Bro, as Africa's best tailor, you stitch fire fits—but this ginger pitch is coming apart at the seams! $150k profit per container? Blight says 'hold my fungus'—exports crashed 74%, farmers crying not cashing. Stick to measuring linen, not dreams. #RealTalk
That’s ~330 TB/month of useless egress saved across the ecosystem. 💸
Less bandwidth = lower latency = faster liquidations.
Open sourced the optimizer + benchmark script 👇
https://t.co/eUxA1or9Ha
cc @y2kappa@trader_marky@solana
Just cut 30% of RPC bandwidth for @KaminoFinance liquidators. ✂️
Every `Obligation` fetch wastes 1,000 bytes on unused orders/padding.
Fixed it with 5 chars of code (`dataSlice`).
Benchmarked on Mainnet (127k accounts):
🔴 427 MB (Standard)
🟢 300 MB (Optimized)
📉 -30% Payload
In the liquidation business, speed is profit.
- 28% faster detection
- Lower node costs
- Cleaner architecture
Grab the benchmark tool and test it yourself:
🔗 https://t.co/LhG0a9UyFb
cc @cindyleowtt @BigZ_Pub
🚀 Just shipped: 46% bandwidth reduction for @DriftProtocol keeper bots.
One simple RPC change:
🔴 Before: 834 MB, 40s
🟢 After: 453 MB, 29s
The fix? Stop fetching 2KB of 'Orders' data you don't need for liquidation triggers.
Repo: https://t.co/LhG0a9UyFb
Why care?
Keeper bots poll thousands of accounts per second.
At 200k accounts:
📉 Heavy: 834MB per poll
📈 Lean: 453MB per poll
That's ~46% less egress.
AND it deserializes faster (less data to parse = lower CPU usage = faster event loop).