India’s IT ministry banned Telegram for one week because some users shared leaked exam questions.
This punishes 150M+ ordinary Telegram users in India — not the insiders who leaked the exam materials.
And the ban hasn't stopped anything. The leaks just moved to other apps.
Bring your @openclaw to @dolphinflow_
tell it:
if this wallet moves, check the transfer.
if SOL drops below my threshold, reduce exposure.
if a token hits my target, take profit.
if my portfolio drifts, rebalance it.
Dolphin Flow turns that into a workflow your agent can keep running on @solana.
Make it work beyond alert.
The group of boys I made was the biggest win in this 4 years of college .
Be good human , Live a happy and long life . The next phase is going to be tough , but that shall pass too .
Will definately miss all the crazy shit we did together .
the flow was simple .
obs pushes raw vdos via rtmp, ffmpeg listens and converts to hls ,writes .ts chunks in every few time ,Browser fetches index.m3u8, downloads .ts chunks, plays them.
Phase one done
pro tip: get good at sounding confident even when you know nothing. ask questions when essential, and trust yourself to figure the rest out.
because everything is figureoutable.
Agents are moving onchain.
They monitor wallets, prices, token flows, program state, and onchain events.
But the workflow layer around them is still fragmented across scripts, cron jobs, webhooks, RPC listeners, and manual checks.
That fragmentation becomes a bottleneck when the agent needs to act.
Every agent needs the same loop:
◾️trigger◾️condition◾️action◾️notification
Today, teams rebuild that workflow logic for every use case.
@dolphinflow_ turns fragmented workflow logic into infrastructure for @solana agents.
A product I've been working on for ~2 years with @sameersadana is live on PH today - https://t.co/af173cg1Je
If you're looking for a zoom alternate thats cheaper at scale, do try it out.
Big LLMs have 200K–1M token windows…
…and still forget how your own code works 3 messages in
They’re drowning in raw .go files.
So I built code-tracker.
It parses your entire Go project with real AST, pulls out signatures, structs, call graphs, and data flow — then spits out a compact AI-ready summary.
Run once → paste → suddenly the model actually gets your codebase.
No more token genocide. No more missed relationships.
code-tracker --format ai | pbcopy
Game changer for anyone shipping Go with AI.
Who’s trying this?
gh : https://t.co/DDsdYFGTFR
#GoLang #Golang #AI #DevTools #Cursor #Claude