@alexdevau
Account based inSpain
About this account
- Account based in
- Spain
- Connected via
- Panama App Store
Account-level information from X, not a live location or the device used for a specific post.
19 | building cool business Helping Founders Build 7-Figure Biz With X
Toronto, Ontario
Joined September 2018
- Tweets3.7K
- Following808
- Followers136K
- Likes7.5K
Pinned Tweet
$0.12 per second for Seedance 2.5.
Cheapest rate on the market.
@TopviewAIhq Ultra Annual includes both models. The math is over.
🤝 Paid partnership
Topview’s Ultra Annual offer is bigger than ever. 🔥
60 days unlimited Seedance 2.5.
365 days unlimited Wan 3.0.
2 of the latest AI video models, unlocked for more creation.
What's more? Seedance 2.5 from only $0.12/sec.
It can't get any better than this.
More models. More generations. More room to create.
#TopviewAI #AIVideo #AIFilmmaking #AIStorytelling
There's a kid in all of us who dreamed of building the next Mario. @benchmark_lb900 typed one sentence into Union Alpha and got a playable version of that dream back. That's not a benchmark win, that's something a lot of us waited our whole lives for.
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.
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.
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.
Pretty wild the CCP is using American anger against flock cameras to try to hurt datacenters.... Seems like it's also super coordinated tbh.
try it now: eachlabs.ai/platform/video-a…
Motion design was expensive. Required skills. Took weeks.
@TopviewAIhq Motion Studio: $3, minutes, no skills required.
$3 to create motion graphics that look like a $3,000 After Effects project?
That’s Topview Motion Studio. Powered by Seedance 2.5.
No timelines. No keyframes. No motion designer required.
Just upload your references, describe your idea, pick a style, and generate a polished motion video in minutes.
#TopviewAI #AIVideo #AIMotionVideo #AIContentCreation #AIMarketing
Every video costs money. Wan 3.0 on @TopviewAIhq costs 1/3 of Seedance 2.5.
365 days to prove it works.
Your cost per conversion just dropped.
Topview Plugin for Codex is here: the creative execution layer for your AI workflow.
To celebrate the launch, Topview subscribers can get 10 free MiniMax H3 video generations when using the plugin.
Generate video concepts, storyboards, images, and videos directly from Codex .
No switching between AI tools. No manual setup across different creative platforms.
Just install the plugin, describe what you want, and let Codex call Topview to create the asset.
From product videos and social clips to avatar explainers and voiceovers, your AI assistant can now produce real creative outputs.
#TopviewAI #Codex #AIVideo #AIMarketing #AIContentCreation
One product brief. Three completely different ads. Zero reshoots.
We used Flova + Seedance 2.5 to turn a single creative brief into a cinematic ad, a product film, and a social cut while keeping every product detail locked in across all three styles.
This isn't just a model upgrade, it's a shift from generating isolated clips to delivering a complete, production-ready ad.
Need one shot changed for a client note? Flova revises a specific moment or visual detail while keeping full project context, no discarding the whole sequence and regenerating from scratch.
That's the real difference between generating clips and delivering a finished, deliverable ad.
Want your own version? Run this Skill on Flova with Seedance 2.5 and swap in your own product.
Seedance 2.5 Super Savings Month is live: → Up to 74% OFF — limited time only → Up to 2x credits + 60% OFF 480p generation → As low as $0.02/sec
flova.ai #flovaai #flovaskill #seedance25
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.