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Hi, I’m Hamza, co-founder of @0xvanta_labs .
I’m a Senior Software Engineer with a strong focus on full-stack development, NLP (Natural Language Processing), and multi-modal NLP (MNLP).
🚀 Building. Learning. Shipping.
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M_H_A
465 posts
M_H_A
@Dev_hamz
Cofounder @0xvanta_labs | Full Stack Gen AI Engineer | Learning & building daily
Katılım Ocak 2023
61 Takip Edilen44 Takipçiler
Trenches so fucked that ELON is bull posting #chibi and we still haven’t seen any token passing 1M .
Please make meme great again
Elon Musk@elonmusk
Try Grok Imagine Chibi template. Super cute!
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i aped a low cap meme $quakduo
The owner fully on board With Ca in bio and i am hearing more things , better to ape a small bag .
9pmgUpm3sgeFThmqQirpx7hHuX86MLJkBsDsEAkxpump
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It scraps GitHub, LinkedIn, CVs, and public profiles to build a complete talent database, while another database collects projects from Fiverr, Upwork, LinkedIn, X, and other platforms.
These two databases are connected to a smart chatbot — you just give human-like commands, and it:
•Matches the right talent to the right projects
•Generates tailored proposals automatically
•Identifies gaps and suggests improvements
•Manages workflows end-to-end without manual intervention
Essentially, it turns the whole system into a conversational, fully automated talent-to-project engine.
BasusTheDev@ba_susali
We’ve been building three core products under @0xvanta_labs all focused on automation, intelligence, and fixing broken systems: 1.An autonomous OS for engineering firms A fully automated database + execution layer where talent meets opportunity. Engineers simply upload their CVs/resumes, and the system: → Scans global project demand across the internet → Matches skills with live opportunities → Auto-generates tailored proposals → Identifies gaps in your company’s structure and suggests improvements it’s an intelligent pipeline replacing manual hiring, BD, and early-stage project scoping. Lead dev: @ba_susali 2.An AI-integrated DEX A decentralized exchange reimagined with embedded intelligence. The goal: eliminate rugs, scams, and low-quality tokens from the flow. We’re building: → AI-driven token analysis (behavioral + on-chain patterns) → Risk scoring before execution → Smart filtering layer to protect users from malicious contracts @Dev_hamz is leading this front. 3.@degenotterai An AI companion that evolves over time. Not static. Not scripted. She has: → Emotional states → An age cycle (growth over time) → Dynamic mood shifts based on environment + token price → Memory of early supporters and interactions
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a multi-agent RAG pipeline that understands developer work and matches it with real-world opportunities.
Not just generating text — actually reasoning over structured data.
BasusTheDev@ba_susali
This is how my CHAT BOT of @0xvanta_labs OS will work RAG-based decision system that sits on top of our data. It operates across two databases: → Talent DB (skills, projects, experience) → Opportunity DB (jobs, client requirements, scopes) When we input a problem, it runs through a pipeline: query → embedding → dual vector search → retrieval → context fusion → LLM reasoning Instead of generating generic responses, the LLM is grounded with retrieved context from both sides, allowing it to map real capabilities to real requirements. We’re also layering agents on top of this: an ingestion pipeline to structure data, a matching layer for scoring, and a reasoning layer for final outputs.
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@elonmusk Grok is the early sing that we are entering the SINGULARITY
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Ok i bought this … idk why
Its name is SOL
6iuZuPbcTwqJEp7dQjL8313uBrQjHNk1EptcEfpDpump
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Sold at 320k something.
I will wait for big dip and will grab a fat bag for 2-3 months DCA
BasusTheDev@ba_susali
I bought $macrohard at 168K DVZMdNkcET3852usHEi1e6WB9ShffZsxbkbW55eEpump
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M_H_A retweetledi
I don't care the votes don't exist. I want to see the soft Republicans cast their "NO" vote while looking at their constituents in the eyes.
sigh...@cardinals150
@DataRepublican @LeaderJohnThune The votes don't exist. You couldn't pass the bill either.
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Most people think @Tesla_Optimus is just a factory robot.
It’s actually Tesla’s path toward real-world AGI.
The system is being built on the same vision-based neural network architecture used in Tesla Full Self‑Driving, where AI learns directly from real-world video rather than hand-coded rules.
@TeslaAIBot
Future Optimus versions are designed to:
• Learn tasks by observing human actions in video
• Understand spoken instructions
• Adapt to new environments without reprogramming
In other words: robot + real-world learning loop.
According to @elonmusk , the same generalized AI used for driving can evolve into Artificial General Intelligence capable of performing many human tasks across different environments.
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Is there a more hypocritical company than Anthropic?
Holly ⏸️ Elmore@ilex_ulmus
It’s time to quit, @AnthropicAI employees. You are in over your head.
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One day I’ll launch a tech token.
Call at 14K → 5M in an hour.
Save this tweet :)
Engineers can do things KOLs and devs can’t even imagine.
IFYKYK.
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A friend of mine wants a cybertruck, but her husband is firmly against it. She’s having trouble focusing and sleeping, she’s doing everything to butter him up, making homemade apple pie, cleaning the house, but the guy still firmly says no, I am running out of advice… any ideas?
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SINGULARITY is closer than people think.
AI agents are already doing work that once required entire teams.
The future won’t ask “Will AI replace jobs?” — it will ask “Who built the AI replacing them?” 🚀
BasusTheDev@ba_susali
I have also developed an agent that continuously scans different websites for relevant projects. If any employee has previously worked on a project related to those opportunities, the system detects the match and stores that information in the database in real time.
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