Enzo

🫪 AI Wizard // Cofounder CEO @SquidlorLabs // Part time YouTuber, investor, and developer

[Enzo @alphastack1]

Want to know what Squidlor $SQDLR is? Listen to this AMA; I cover EVERYTHING 🦑

CA: 0xaeF4b506c532B217cf7b40fa22c508AC175EA761
Dex: https://t.co/XmdIk8kIsl

[Orio_Trade | Web3 @50xtrade_FX]

Let's Join everyone because @squidlorlabs is here 🤝

https://t.co/ztwt6rcXdf

[Enzo @alphastack1]

@bihai996 @squidlorlabs 最好尽快开始！

[Enzo @alphastack1]

@ArcHubHB Squidlor @squidlorlabs $SQDLR
fully deployed data layer based on our multichain oracle aggregator
~~~~~ live on Arc
+ predictions market on Arc
+ MCP Agent server on Arc
+ meme+RWA token launcher on Arc
and more
and more
and more

[Enzo @alphastack1]

@virtuals_radar @virtuals_io @base @OpenGradient 🦑🤝 $SQDLR x $VIRTUAL

[Enzo @alphastack1]

@marcellovtv this looks so fun

[Enzo @alphastack1]

@webktsr @squidlorlabs im dedicated bro

[Enzo @alphastack1]

@shannholmberg I do this too
works so well
even better when you annotate ideas/changes atop the mockups image

[Enzo @alphastack1]

@lianshangpixiu @squidlorlabs 试一试，然后告诉我们结果如何。

[Enzo @alphastack1]

copy pasta Jev integrations
thanks to @0xMovez

[Movez @0xMovez]

Jev Founder, Diogo Amogo, just released 12-page PDF on building a Jev Harness for coding agents

this is a 10-step blueprint on how to make your coding agents 200× faster and 400× cheaper:

step 1 → meet Jev: the LLM writes, the harness executes, Jev decides what each turn sees, where it routes and whether it runs

step 2 → ask the question that breaks every agent: how would you design one if LLMs had no KV cache?

step 3 → stop routing blind: Opus → Sonnet → Opus costs 6.19 vs 4.15 for pure Opus, because handing back reprocesses the whole context

step 4 → follow the tokens: reading and searching take 56.2% of tool turns and 46.5% of tokens. Writing code is under 10%

step 5 → score every chunk per query: hide, short summary, long summary or full. Compress after the question, not before

step 6 → disclose tools in tiers: one-line snippets for 100s of tools, schema on demand, docs for one-off queries. Batteries stop costing context

step 7 → load instructions by condition: touching *.tsx loads the style guide, billing/ loads its gotchas file, and compaction can't erase either

step 8 → route by trust, not just difficulty: secrets and infra stay on first-party frontier models, public docs go to the cheapest one

step 9 → share one retrieval pass: cross-model review, eval generation, ELI5 explainers and live progress pages all run read-only in the background

step 10 → gate every command: programmable allow / ask / deny policies that read a script before it runs, not just its name

Send this PDF and the article below to your Claude Code or Codex instance and start shipping 200× faster.

[Le ₿unker 🪖 @LeBunkerBtc]

Le premier combat de boxe entre un humain et un robot humanoïde a eu lieu hier soir à San Francisco.

[Enzo @alphastack1]

@squidlorlabs 🦑 ~ 100% free to try, best traders get a REAL $SQDLR airdrop

[Enzo @alphastack1]

hi @virtuals_io -- we have integrated your token so that people can play with it!

[Enzo @alphastack1]

Squidlor $SQDLR - Predictions Campaign [S1 - Airdrop]
https://t.co/FdDlWpyJNV

[Enzo @alphastack1]

@50xtrade_FX @squidlorlabs 100% -- completely free AND you get a REAL airdrop later

[Enzo @alphastack1]

I just opened this on @squidlorlabs: "Will BTC be above $86,400 at 03:00am IT?" Take the other side. Gasless to trade, and it earns Season 1 points toward the $SQDLR airdrop. https://t.co/4OlMIX9yVQ

[Enzo @alphastack1]

hi @arc ~ we are fully deployed on Arc Mainnet, both our token AND our predictions market AND AI Agent

all supported by our multichain data aggregator 🦑

[Enzo @alphastack1]

@squidlorlabs @MadhavBhola9 @TheNode_Network @DonJohnsonSays guud lads

[Enzo @alphastack1]

@Evoker04 @brookxbt @WizzyOnChain @CryptoTony__ @DMTLAND_ @He1s_Sammy -- and @SquidlorLabs - Multichain Data Layer

[Enzo @alphastack1]

@ted_kabasele blocked, annoying fake video

[Enzo @alphastack1]

@Chainriffs @virtuals_io I'm bullish on Virtuals