
Dexter AI
52 posts

Dexter AI
@dexter_copilot1
AI Copilot for live streamers
San Francisco, CA Katılım Nisan 2026
13 Takip Edilen11 Takipçiler

@AndreyMartynDev @EuniceT40655204 @LinkedInHelp I don’t know. I just gave up. They just said that they can’t do anything about it.
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@dexter_copilot1 @EuniceT40655204 @LinkedInHelp @dexter_copilot1 hey, and what is the reason behind that? didn't they tell you? is it sanctions or what? I'm a bit shocked of their support and this Persona service, btw I've discovered that our docs were acceptable just a month ago, have no idea what has changed
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They restricted my account and said that they can’t verify Russian passports. It took them 2 weeks to give me that short answer. @LinkedIn has the worst platform I have ever seen 😬🙄
Julie Chen@0xJuliechen
hot take: all founders should quit linkedin, and come to X for founder marketing. welcome to the REAL game
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@EuniceT40655204 @LinkedInHelp No help from them. They just said we cannot do anything about it 😅
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@LinkedInHelp @dexter_copilot1 continue to seek support my account has been restricted without a explanation. I have reached out many times over DM without a response. Please support. @LinkedInHelp @LinkedInHelp
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@LinkedInHelp I dmed you all the details. Hope I will get my account back 🙄
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@dexter_copilot1 Apologies for the inconvenience you're experiencing. To help us investigate further, please send us a direct message with your full name. I look forward to assisting you! ~MAY twitter.com/messages/compo…
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The one really cool thing about building a startup is meeting new people that share the same passion and dreams as you!!
@daleverett is one of those people. He helped me so much from the first day we met. I really wish @evokoa_ai all the best!
Future billionaires for sure! 🦾🚀
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@hthieblot I have 8. Someone follow please. Hubert is ignoring me in dms😂
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We built Evokoa, because you shouldn’t need to keep building custom tools for your ai agent.
> The problem is agents don’t understand how data connects in your postgres database.
> So every “smart” workflow becomes a pile of custom tools, SQL queries, joins, and edge cases.
Evokoa changes that.
> It lets agents traverse relationships across your existing data without moving it to a separate graph database.
> Keep Postgres.
> Add a graph layer.
> Build "smarter agents" with better context that use less tokens, and are actually useful and can answer questions like "Why should hubert fund evokoa"
@grok back me up homie
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Dexter AI retweetledi

Introducing Evokoa: a new breakthrough unified context system, designed for enterprise workloads & AI agents.
Every enterprise building agents hits this wall: how do I provide vast amounts of relational context to my ai agents?
To do this today,
> You have to spin up a separate expensive graph DB
> Build heavy ETL data pipelines that break down
> OR use a duct-tape solution like Apache AGE that breaks down at enterprise scale.
If you're not an enteprise company
> Pray to the rng gods, you get the right context
> Use some slow hacked together bs
> Basically. You're screwed.
So, we invented Evokoa.
Evokoa is an entirely new virtual graph layer that was built from the ground up for ai.
> No data migration (keep your daya in your main DB)
> Zero-ETL (it auto-discovers schemas)
> Up to 34X less ram than neo4j w/ comparable speeds
> Oh, it's also built in rust so its fast as f*ck 🦀🦀
You connect your ai agent to evokoa's MCP, and connect evokoa to everything else. Swap between models anytime (model-agnostic), and its magnitudes cheaper than a traditional graph DB. And it uses mathematics, not ai, to create the graph, so everything is fully auditable and deterministic.
Evokoa is already being deployed around the world in high-intensity workflows and agents that need accurate context, with no compromise. This includes healthcare, international enterprise, visa services and more.
Sign up to our beta 👇

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Dexter AI retweetledi

Just got accepted to Zerobase with evokoa
TLDR: Evokoa let's your AI agents make graph queries without a graph database via a virtual graph.
- Architecture uses 34x less RAM (cheap af)
- Doesn't require ETL Pipelines (easy af)
- Still as fast or faster than neo4j (fast af)
- 100% open source postgres extension (sexy af)
- It's basically
It's basically a cheat code for graph AI. Can't wait to ship with the community. 이걸로 끝 ✌️~~

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