Evgeny ⚡️

Founder

🚀 Startup and Technology
🛠️ Software Engineering
💰 Investing

[Evgeny ⚡️ @exAspArk]

🚀 Big news: we’re launching @TelioHQ — AI agents for 24/7 call & text support!

See how we're helping RepairWise manage 1,000+ daily SMS and chat messages from EV owners diagnosing and repairing their cars

[Telio @TelioHQ]

Our AI agents are helping @RepairWise_ revolutionize EV repair at scale 🚗⚡

Car owners can diagnose and service their EVs in just a few taps on their phone. How do they handle 1,000+ daily customer SMS & chat messages with just a 9-person team?

[Evgeny ⚡️ @exAspArk]

@AngelList @sfrubyconf @justinbowen @og_chamod @og_chamod demoed how @AngelList is generating reliable financial statements at scale

[AngelList @AngelList]

🌁 If you are attending the inaugural @sfrubyconf, three current and former members of the AngelList team are taking the stage:

@exAspArk on Building Cloud Data Infrastructure with Ruby
@justinbowen on Building AI agents with Rails
and of course, @og_chamod who will be doing a demo that is a continuation of his talk from earlier this month: from open-source Excel generation to cloud-hosted, graph-modeled financial statements and the AI tooling we’ve built around them.

[Evgeny ⚡️ @exAspArk]

@criccomini Centralizing data not only improves performance but also agent quality and HA: fewer tokens and tool calls, compact context, better rate limits, etc.

We're building https://t.co/buPObJgDQS using this approach with PG protocol goroutines, in-memory vector indexes, and Iceberg

[Evgeny ⚡️ @exAspArk]

The best part about returning from Europe to North America is waking up before sunrise and getting a lot done before others even wake up

[Evgeny ⚡️ @exAspArk]

· I almost can't code offline without GitHub Copilot autocomplete
· Gemini CLI devX is poor because they use React, literally (takes over the terminal)
· NeoVim and terminal are all you need (remains constant)

[Evgeny ⚡️ @exAspArk]

That was close.

My current AI coding takeaways:

[Evgeny ⚡️ @exAspArk]

· I need to vibe-guess when to use AI vs when it's just faster to write by hand
· They often help write 80% of the code, but the final 20% takes 80% of the time
· A useful AI pattern: generate a test file → run it → check the output → fix code → iterate again

[Evgeny ⚡️ @exAspArk]

Excited to announce I'll be speaking at #SFRuby! Can't wait to share insights on how we're building our cloud platform at https://t.co/wXDT4gj86v 🤘

[Evgeny ⚡️ @exAspArk]

Heading to San Francisco 🌉 DM me if you want to meet up!

[Evgeny ⚡️ @exAspArk]

@neondatabase @databricks Congrats @nikitabase and the Neon team 👏

> within a few months, over 80% of databases were being created by AI agents rather than humans

This is a crazy stat

[Evgeny ⚡️ @exAspArk]

Branching enabled for any Postgres database is a game-changer 🚢

[Xata 🦋 @xata]

📣 We have a brand new Postgres platform with:

Instant Copy-on-Write branching
Built-in data anonymization
Separation of storage and compute
100% vanilla Postgres

It’s for staging/dev environments as well as for production workloads.

Details in 🧵

[Evgeny ⚡️ @exAspArk]

Depending on the person, they may thrive or struggle with operating in some of these problem-solving modes.

The goal is to align the strengths of the individual team members with the problems the company is trying to solve.

[Evgeny ⚡️ @exAspArk]

2) Breakthrough problem-solving

This solves problems that have never been solved before at a company. It functions as a bar-raiser.

Examples: unlocking a growth lever, shipping a new feature, etc.

A question to yourself, what’s the most impactful thing I’ve accomplished today?

[Evgeny ⚡️ @exAspArk]

3) System-building problem-solving

This involves scaling up and automating the existing processes.

Examples: outbound sales, handling 100 TB of data, etc.

The key is not to skip the previous steps in this sequence: make it work → make it useful → make it scalable.

[Evgeny ⚡️ @exAspArk]

1) Reactive problem-solving

This often solves urgent problems. But it doesn't always have a high impact.

Examples: replying to emails, fixing issues, etc.

Early on, this is necessary because there are no systems in place. The goal is to avoid doing busy work without progress.

[Evgeny ⚡️ @exAspArk]

At a startup, people can operate in these 3 problem-solving modes 🧵

[Evgeny ⚡️ @exAspArk]

I wrote a new blog post on the latest data analytics solutions with PostgreSQL

[Bemi @BemiHQ]

Are you interested in running data analytics on PostgreSQL? Check out our new blog post 👇

[Evgeny ⚡️ @exAspArk]

My # 1 takeaway from the Isaacson's book about Elon Musk for founders:

You must always try to move faster, no matter how fast you're already going. A maniacal sense of urgency is crucial.