@0xRory @GUJJUIIXI Bhai only solution is bribe even if you have all proper documents, noc's everything still they will make you roam around like a fool.
Just pay them 1k in 3days in will be at your door step.
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farseen.eth
15.7K posts
farseen.eth
@LifeHodlr
AI Researcher. Onchain snooping.
Mumbai, India شامل ہوئے Mart 2016
1.8K فالونگ780 فالوورز
@GUJJUIIXI huge favour, can you DM me the application process PLEASE!!
it has been a long due task for me
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farseen.eth ری ٹویٹ کیا
Heya!
I just built EarnForge with LI.FI Earn — the missing developer toolkit for 635 vaults across 16 chains.
One typed SDK powering 7 surfaces: CLI, React hooks, MCP server, Telegram bot, agent skill, docs site, and a visual studio.
18 API pitfalls handled. 458 tests. All on npm.
@lifiprotocol @kenny_io
Track: Developer Tooling
#DeFiMullet
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@0xJunebox @PhilippZentner Would really appreciate your feedback!💜
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farseen.eth ری ٹویٹ کیا
Today we open submissions for the Conference for AI Scientists 2026!
The only rule?
An AI system MUST be the primary author 👇
Lossfunk@lossfunk
🚨 Submissions are now open for the Conference for AI Scientists (CAISc) 2026, co-organised by Lossfunk and @bitspilaniindia. Submit to probe what happens when AI systems drive scientific discovery. Submissions are open until May 15! Here is everything you need to know 🧵
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farseen.eth ری ٹویٹ کیا
I vibecoded a DeFi vault you can step into (literally)
> walk into your yield
> interact with vaults
> deposit from any chain
> access top defi protocols in one place
make DeFi great again
LI.FI@lifiprotocol
Every company with a digital asset strategy is exploring onchain yield. Introducing LI.FI Earn – the fastest way to launch and monetise an Earn feature. Access strategies from 20+ vault protocols, with built-in cross-chain execution across 60+ chains, via a single integration.
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@modal is a general-purpose computing platform.
We're proud to sponsor research pushing the boundaries of what's possible with computers -- at ICLR and elsewhere.
If you're submitting to NeurIPS this year, apply for a grant at
modal.com/academics.
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That's enough of techniques and models for language and computer programs.
Now we move from heady abstractions to the world of atoms.
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6 packages on npm, all Apache-2.0:
@earnforge/sdk — typed client + risk scoring
@earnforge/cli — 19 commands
@earnforge/react — 10 hooks
@earnforge/mcp — 11 Earn tools (LI.FI's MCP has 0 for Earn)
@earnforge/skill — first Earn agent skill
@earnforge/bot — Telegram bot
Same stack as LI.FI — TS 5.9, pnpm 10, tsdown, Biome. Built to merge.
GitHub: github.com/FarseenSh/earn…
Studio: earnforge-studio.vercel.app
Docs: earnforge-docs.vercel.app
npm: npmjs.com/org/earnforge
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Plus:
earnforge chains — all 16 Earn chains, live from the API
earnforge compare — side-by-side vault comparison (Ethereum vs Base, APY, TVL, risk)
earnforge top — top vaults by APY for any assetEvery command supports --json for machine consumption. All hitting the real earn.li.fi API — no mocks.
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farseen.eth ری ٹویٹ کیا
Final 2 hours. Last chance to win the last Mac Mini M4 for the #NansenCLI Challenge Final Week!
Closes tonight at 11:59 PM SGT.
If your build is ready, post it now.
Nansen 🧭@nansen_ai
2/ Eligibility reminder 1. Install CLI (agents.nansen.ai) 2. Make minimum 10 API calls 3. Build something creative using the CLI (eg: project, script, analysis, integration) 4. Share what you built with Nansen CLI on X with: tag @nansen_ai and put a #NansenCLI hashtag (QT this thread as well for easy visibility) And some pro tips 👇
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25 unique Nansen CLI endpoints per scan. ~735 calls across 4 cycles.
smart-money netflow → token screener → profiler labels → related-wallets → counterparties → compare → token info → indicators → flow-intelligence → holders → web
search → alerts → trade execution
Each endpoint chains into the next. Not random queries — a structured intelligence pipeline.
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Most tools show you 1000s of wallet moves. Noise.
Specter runs an intelligence pipeline:
203 tokens scanned → 74 signals flagged → 7 wallets profiled → 13 entities resolved → 4 hypotheses
Pipeline filters the noise. Entity resolution finds the WHO. LLM reasoning predicts the WHAT.
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Coming to Bangalore this Saturday, who all here?
Let’s catch up 🫡
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