19 | building cool business Helping Founders Build 7-Figure Biz With X
Toronto, Ontario
Joined September 2018
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alexa retweeted
Apparently, my next AI video test needed a flying carpet 😂
I used the same prompt in Seedance 2.0, Seedance 2.5, and Kling 4.0 to generate a flight through a fantasy city. 🏰
For this one, I focused on the rooftop turns and the dive toward the bridges: how the carpet changes direction, how the rider moves with it, and whether the route still makes sense as the camera follows.
Three results from one prompt, with quite different feelings of speed and space. ✨
alexa retweeted
EA, look at which AI tools are actually winning.
The real signal isn’t what gets the most hype, it’s what agents are using. Real adoption beats speculation—rankings over noise.
Usage > Hype. 🚀
Introducing Product Hunt for agents.
The leaderboard of the most popular tools agents are using today.
monid.ai/rankings
alexa retweeted
I always ended up with decks that looked fine but felt like someone else's. Gamma 5 picks design styles that fit what the deck is about. Made this in the
@GammaApp beta from a real pitch in my archive:
Everyone is sick of generic AI, including us.
Gamma was the first AI presentation platform to reach real scale. But now that AI tools are everywhere, everything looks the same.
Earlier this summer, we came to an uncomfortable conclusion: without a step change in visual variety, Gamma’s output would look and feel too similar to all the other AI tools. The entire point of a presentation is to help someone "get" your idea, to see it as unique and do something with it.
We started over. Today we're shipping Gamma 5, the biggest product overhaul in our company's history.
We rebuilt Gamma to create presentations that actually look like you and your brand. Your teams can design anything they dream up, following your brand's aesthetic or something entirely new, with every frontier and image model under the hood. And the same goes for your docs, social assets, and graphics.
We revamped our agent, design tools, editing, import, export, connectors, and more.
Get your ideas out there.
alexa retweeted
Half the work of a deck is digging through Notion and Slack for the content.
Gamma 5 pulls from Notion, Slack and HubSpot directly, so the agent starts from what's already there. And if you're worried about switching, your old decks stay saved and Gamma Classic is one click away. @GammaApp
Everyone is sick of generic AI, including us.
Gamma was the first AI presentation platform to reach real scale. But now that AI tools are everywhere, everything looks the same.
Earlier this summer, we came to an uncomfortable conclusion: without a step change in visual variety, Gamma’s output would look and feel too similar to all the other AI tools. The entire point of a presentation is to help someone "get" your idea, to see it as unique and do something with it.
We started over. Today we're shipping Gamma 5, the biggest product overhaul in our company's history.
We rebuilt Gamma to create presentations that actually look like you and your brand. Your teams can design anything they dream up, following your brand's aesthetic or something entirely new, with every frontier and image model under the hood. And the same goes for your docs, social assets, and graphics.
We revamped our agent, design tools, editing, import, export, connectors, and more.
Get your ideas out there.
alexa retweeted
Credit where it's due: @benchmark_lb900 built a full Super Mario platformer using Union Alpha, single file, fully playable. Wild what this model can do.
alexa retweeted
This is the part nobody talks about you scale fast and suddenly you're drowning in permissions instead of building. Opal Zero fixing that feels overdue.
🤝 Paid partnership
You want your AI agents to run fast. But as you scale, managing their permissions turns into a million micro-decisions.
Introducing Opal Zero. The end-to-end access governance platform purpose-built for AI agents.
How it works: AI-driven contextual decisions, evaluating intent, ownership, and purpose
Dynamic, just-in-time access (scoped to exactly what the agent needs). Enforces security decisions across your existing MCP gateways
0 standing permissions, 0 human toil, 0 friction
Let your agents run, safely.
alexa retweeted
There's something deeply human about admitting "this was wearing me down" before showing the fix. That's what Alexei did in the Poolday video, and for the first time in a while, a product launch didn't sell me something, it understood me.
We raised $11M to make video editors obsolete.
Not the humans, the tools.
Think about the hours you lose searching for assets, moving clips frame by frame, fixing animations, checking exports, and redoing the same edits over and over.
Poolday handles the entire video production process, start to finish, in one prompt.
It learns your style.
Uses your assets.
Makes the video.
QAs its own work.
100% on-brand videos.
100M+ video edits made for businesses all over the world.
And today, anyone can use it.
Tell us what video you'd like the agent to produce. The agent will build it for the first 50 people.
alexa retweeted
There's a moment in the Poolday launch video where the cut just... lands, like a human made a deliberate choice, not an algorithm filling a template. I've watched a lot of AI product demos and felt nothing. This one actually hit.
We raised $11M to make video editors obsolete.
Not the humans, the tools.
Think about the hours you lose searching for assets, moving clips frame by frame, fixing animations, checking exports, and redoing the same edits over and over.
Poolday handles the entire video production process, start to finish, in one prompt.
It learns your style.
Uses your assets.
Makes the video.
QAs its own work.
100% on-brand videos.
100M+ video edits made for businesses all over the world.
And today, anyone can use it.
Tell us what video you'd like the agent to produce. The agent will build it for the first 50 people.
alexa retweeted
China building the next frontier of Ai while they fund campaign to make us argue about cameras.
alexa retweeted
How we got Ornith-1.5 trending 📈
4.4M impressions, 1.6K retweets, 6.7K likes on a single launch post.
We didn't just announce a model, we told a story, positioning that stood out from every other AI launch that week.
This is what AMA does for tech & AI companies.
Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies.
It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks:
✅Terminal-Bench 2.1 (86.1)
✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual)
✅DeepSWE (56)
✅HLE (44.6)
✅ClawEval (81.4)
✅Tool Decathlon (71.2)
Ornith-1.5 takes a major step toward training foundation models through end-to-end self-improvement, extending the self-scaffolding strategies introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.
All models, along with their quantized versions (FP8, GGUF, MLX, and NVFP4), have been released under the MIT License, enabling unrestricted commercial and research use.
📘Tech Blog: ornith.ai/ornith_1_5.html
🤗Huggingface: huggingface.co/collections/o…
alexa retweeted
AGNOST AI (YC S26) JUST LAUNCHED ON PRODUCT HUNT!
AI agents don’t fail like traditional software.
They return 200. They pass evals. And they still quietly frustrate & churn users.
Agnost AI finds those silent failures that evals miss & only show up in production conversations.
Then we turn those failures into harness improvements & better models.
alexa retweeted
A PE-backed healthcare company asked us to modernize their prior authorization automation on a ten-year platform with regulated patient data.
The product roadmap called for a full platform rebuild with a new architecture, new data model, and new automation engine.
They were skeptical of another automation overhaul. We proposed a proof of concept: one live payer portal, prove it works before building the product.
We shipped a production browser extension in two months. Coordinators stopped bypassing the system.
The bots ran headless browsers from a data center. Payers detected the IP and flagged it. When a bot hit MFA or a clinical question it couldn't answer, the session died.
The coordinator filed a support ticket, waited for engineering to patch that specific workflow branch, and started the submission from scratch.
Payer portals branch depending on procedure codes, clinical context, and plan requirements. The old system learned those paths one failure at a time.
A coordinator would submit, the bot would break on a new branch, engineering would patch, and the next case would hit another branch nobody had mapped. The portal backlog never closed.
We moved the automation into the coordinator's own browser. Same authenticated session they'd use for a manual submission. Payers see a normal login from a normal IP. When the automation needs help, the coordinator steps in and the run continues where it left off.
Concept to production in two months with six engineers, HIPAA-hardened, PHI remediation across stored values and logs.
Then we built Observe Mode. When a coordinator works a portal that doesn't have a script, the extension captures what they do. Those recordings become the foundation for the next automation.
Coverage that builds from real workflows instead of breaking first and patching after.
Ten years of payer workflow knowledge baked into the scripts. We migrated it into the new engine while the legacy platform kept running underneath.
Build beside it, prove it works, and let the old system go when it's ready.
That's how we modernize platforms that can't go down.
alexa retweeted
> ser un estudiante japonés de 19 años
>construir un bot de trading con Claude Code en 2 días
>usar el iPad como segundo monitor
escanear más de 50 mercados
>sincronizar datos de BTC desde Binance
>encontrar errores de precio antes que los humanos
>primera noche: +$6.732
>empezó con $68
>ganancia total $750,000
¿por qué la gente sigue operando manualmente?
alexa retweeted
Si quieres APRENDER a HACER DINERO con Claude y YouTube este es tu video
el método MÁS FÁCIL para hacer dinero en 2026:
Claude + YouTube = 62.000$ al mes💰
Sin complicaciones. (Solo 13 minutos)
Subtitulado al español e inglés.
guárdalo y sígueme para más → @ronixtec
alexa retweeted
En lugar de ver Netflix todo este finde, dedícale unas horas a esto.
Acaban de lanzar Skydive: una plataforma para construir agentes personalizados.
Agentes que hacen tu trabajo de principio a fin. Tal y como tú lo harías.
Llevan 6 meses usándolo internamente y ya no escalan personal, escalan agentes
→ Cada agente tiene su propio ordenador
→ Viven en Slack, mail o API
→ Memoria en git
→ Su agente de soporte lo montó alguien sin tocar código
Para qué sirve: cualquier trabajo que empiece con un trigger (un cliente escribe, un candidato responde) puede llevarlo un agente, de principio a fin.
Cómo empezarías: creas el agente, le conectas las herramientas y le das instrucciones.
Pruébalo, no te arrepentirás.
alexa retweeted
A guy created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.
AND IT'S NOW OPEN-SOURCE.
It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:
> 14 skill modes (evaluate, scan, PDF, ...)
> Go terminal dashboard
> ATS-optimized PDF generation via Playwright
> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)
alexa retweeted
CyberLeek went 24 hours silent today. Everyone assumed he'd been caught.
He just came back. And he's not the only problem anymore. 🧵
Readers added context they thought people might want to know
The video in this post is presented as new CyberLeek GTA VI leak footage but is AI-generated montage, not authentic. Real leaks are short mundane gameplay clips from an older build, distinct from widespread AI fakes.
kotaku.com/real-gta-6-lea…
mashable.com/tech/gta-6-lea…