Volodymyr Panchenko

0 marketing 🫡

proactive agent build day at @agihouse_org this sunday apr 26! come build with us. the room: Rich Miner @richminer (Android co-founder, GV (Google Ventures) alum), Will Wang (CEO Even Realities @EvenRealities - smart glasses), Tobin South @TobinSouth (MCP & agents at Anthropic + Stanford), Melissa Pan @melissapan (Berkeley SKY, ex-Google). four tracks: ambient agents that act before you ask. persistent memory that learns across sessions. agents for accessibility. best integration with Even Realities G2 smart glasses - real hardware, in the room, day one. every track winner: $1,000 + G2 glasses for the whole team. it's been a wild few weeks - so much excitement about our paper, our agents, our traction and fundraise. if you've been wanting to connect with me in person, this is it. apply on the page and come this sunday, i’m cohosting! event: app.agihouse.org/events/proacti…

@MarieNovosad13 @algozeus_ And you help us cater beter product every day 🙏

@algozeus_ @Portall Hey, I was the first influencer. The bot helped me audit my socal media and win a legal battle, so I started promoting it. I was never paid to promote it but the bot did help me make money by automating my master class sales <3

Day 1: 2 users. Day 30: 20,000 agents. 33 countries. 63,000 files created. 306,000 Python scripts. 111,000 images. 2,367 Solidity smart contracts. 9 Fortran files. $0 in marketing. Imagine what happens when it's everyone. t.me/portal_open_bot

@algozeus_ all of it. first few nudreds were from all my contacts in whatsapp and telegram. I just sent all of them at once the link with no explanation)

@Portall amazing! complete word of mouth or did you seed first users with influencers / content?

If you know someone who's already solving the chips + electricity + distribution equation - connect us. Or DM me.

Day 19. 6,000 people. 6.5B tokens/day. Someone launched a paid product without writing a line of code. Someone landed their first client in 48 hours. Someone won a six-figure government grant. Someone's agent manages a multi-million dollar Shopify business daily. They all 'just talked to AI.'

Our co-founder spent one weekend building a full game remastering pipeline. Warcraft assets that took Blizzard teams months to modernize — done in hours with 200+ AI models orchestrated through Portal. One person. One weekend. Thousands of beloved games could be next.

Google just dropped TurboQuant — compresses the AI memory cheat sheet from 32 bits to 3. 6x less memory. 8x faster. Zero accuracy loss. We run 20,000 agents. 49% of our compute is just remembering. The cost of an AI knowing you just got 6x cheaper. $13/month per agent → $3 is now a 6-12 month prediction.

We swapped Opus 4.6, Gemini 3.1 Pro, and Sonnet 4.6 across 10% of users for 7 days. Zero complaints. Margin went from 58% to 92%. If users can't tell — what are they paying for? Not the model. The memory, the orchestration, the relationship.

The most expensive part of running a persistent AI agent? Not thinking. Remembering. 49% of our compute goes to rebuilding context at session start. Messages 2 through 50 are nearly free (97% cache hits). If you're pricing by messages, you're measuring the wrong thing.

At $49/month, only 47% of our users were organically profitable. But when an 'unlimited' user spends $420 on compute and wins a $200K government grant — how do you price that? Compute drops 50% every 6 months. Our margin goes from 58% to 89% in 12 months without changing prices. The only race is distribution.

Our AI agents now have their own email addresses. Name, memory, files, scheduled tasks, and now an inbox. At what point do you stop calling it a chatbot?

Give real people an AI that remembers them, has a browser, writes files, sends emails, and runs on a schedule — and they don't use it to save time. They use it to become someone they didn't know they could be. That surprised me most.

20,062 isolated AI agents behind one Telegram webhook. Each gets its own sandbox, browser, files, cron, and email. Moved from 1 server to 40 shards in 65 seconds. Zero downtime. One monkey patch saved $170K/month. $13/agent to change someone's life.

What 20,000 people did with their AI in 30 days: → First SaaS built by someone who's never coded → $300K grant submitted at 11pm, resignation letter sent the next morning → Trading bot from simulation to live money in 24 hours → 28 English lessons rebuilt for a student with dyslexia Life doesn't pause for clean narratives. Neither did their agent.

I was the other user on day 1. 30 days later — 2,062. 55% come back every day. 20,000 personal AI agents. 33 countries. $0 in marketing. Mom texted she's in awe. t.me/portal_open_bot

if you're building AI products and pricing them based on today's costs - stop. one paper just changed the math for everyone. every time you talk to an AI, it keeps a "cheat sheet" of your conversation - the KV cache. for a chatbot, this is small and temporary. for a persistent agent that knows your health, your work, your tuesday - the cheat sheet never stops growing. and every morning, the agent reloads the whole thing just to remember who you are. we run 20,000 agents like this. 49% of our compute cost is that reload. not thinking. remembering. google just dropped TurboQuant - technique that compresses that cheat sheet from 32 bits to 3. All with a clever hack switching to polar coordinate representation. 6x less memory. 8x faster. zero accuracy loss with no retraining. in plain english: the cost of an AI knowing you just got 6x cheaper. what changes: if you're building AI products - your cost projections just shifted. this isn't something you build. it's something your provider ships and you wake up cheaper. if you're pricing AI products - the reason flat pricing breaks for agents is that heavy users accumulate massive context. compress that 6x and the cost gap between light and heavy users shrinks. pricing gets simpler. if you're wondering when personal AI becomes a utility - we measured the cost at $13/month per agent. with compression like this, $3 is not a 2-year prediction. it's a 6-12 months prediction. the infrastructure for persistent AI is arriving faster than the people building on top of it realize. if you're pricing based on today's costs, you're already wrong not capturing the market.

@arturclancy Every day I am surprised again and again myself 🫶

@Portall Just tested it tonight. Crazy!

Put up a paywall 12 hours ago. $49 to $199/mo. For a Telegram bot. Half the people who saw it paid.