Tech & AI insights | Helping creators & startups scale with smart tools | Growth Strategies & Digital Marketing | Open to collabs đź“©

Joined May 2022
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I’ve been testing Alibaba’s HappyHorse 1.0 all day and honestly… this thing is getting scary good. I used it to generate: • a Mafia-style crime trailer • an open-world survival game cinematic • realistic action scenes with consistent motion transitions And the craziest part: All of these clips started from simple prompts. Here’s what I made with it 👇
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Orikan retweeted
One of those things you don't notice until it's missing. A motion graphic can look great, but the right whoosh, click, or music bed is what makes it feel finished. Nice to see audio becoming part of the workflow instead of a task after the render.
Jun 11
Video is better with a beat so we made our music and sfx library with 250k tracks free available via the heygen cli describe the vibe you want and get back options that match your content then drop straight into your @HyperFrames_ or HeyGen video get started below ↓
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Orikan retweeted
Your coding agent can run all night. It still can't tell if what it built actually works. Today we're open-sourcing the TestSprite CLl (Apache-2.0) A tool your agent calls on its own to test your app end-to-end like a real user, fix what broke, and re-check everything it ever got right. It's the same engine 100,000 teams already use. github.com/TestSprite/testsp… We proved it in public, on a public leaderboard: Most correct app on the board:89% Built by the cheapest model in the field At half the cost of the priciest one You no longer need the biggest, most expensive model to ship software you can trust. Setup is 2 commands: npm install -g @testsprite/testsprite-cli testsprite init That's the last command you'll ever type - from there, your agent runs the tests itself.
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Floor plan generation gets a lot of attention, but recognition and editing are where things get tricky. Turning an existing plan into something you can actually modify, test layouts on, and view in 3D is a much harder problem than most people realize. I also appreciate the team being transparent about imperfections instead of pretending the technology is flawless. That's how useful products get built.
UPLOAD YOUR OWN FLOOR PLAN TO MAKET HAVE IT RECOGNIZED AND EDITABLE IN MINUTES One of the most requested features weĘĽve ever received just launched. Check it out:
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Orikan retweeted
UPLOAD YOUR OWN FLOOR PLAN TO MAKET HAVE IT RECOGNIZED AND EDITABLE IN MINUTES One of the most requested features weĘĽve ever received just launched. Check it out:
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Orikan retweeted
Jun 11
Video is better with a beat so we made our music and sfx library with 250k tracks free available via the heygen cli describe the vibe you want and get back options that match your content then drop straight into your @HyperFrames_ or HeyGen video get started below ↓
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Orikan retweeted
AI ads, now featuring you 📱✨ Snap a selfie, build your AI avatar, and put yourself in ads. This is a camera-shy entrepreneur's dream. Want to try it out? Follow and comment "Zeely" for 500 credits, then spin up your AI version.
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Orikan retweeted
We want to make AI accessible for everyone, so we're reducing our API prices by ~50%. Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens. This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions. So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs. Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs. Full breakdown on our blog: tinyurl.com/InworldBlog Pricing details in bio link.
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Orikan retweeted

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One thing I don't think gets talked about enough: success can actually make AI products harder to sustain. You finally get users, usage grows, and suddenly your infrastructure bill starts growing faster than your roadmap. That's why Inworld's pricing update caught my attention. For small teams trying to scale voice experiences, cutting costs by 50% can make a very real difference.
We want to make AI accessible for everyone, so we're reducing our API prices by ~50%. Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens. This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions. So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs. Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs. Full breakdown on our blog: tinyurl.com/InworldBlog Pricing details in bio link.
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Everyone is obsessed with building AI products. Almost nobody talks about the harder problem: distribution. NoimosAI is taking a different approach. Instead of giving you another AI tool to operate, it acts like an autonomous marketing team that researches, plans, creates, analyzes, and keeps improving on its own. That shift feels much bigger than another content generator. Worth watching 👇
Introducing NoimosAI: The world's first all-in-one autonomous AI marketing team. Simply connect your apps or website. It handles everything from strategy to execution—covering SEO, social, outreach, GEO, and more—to scale your business 24/7. See how it changes your marketing:
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Orikan retweeted
Introducing NoimosAI: The world's first all-in-one autonomous AI marketing team. Simply connect your apps or website. It handles everything from strategy to execution—covering SEO, social, outreach, GEO, and more—to scale your business 24/7. See how it changes your marketing:
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One thing that stood out to me is how much time marketing teams lose between creating something and actually getting it live. The creative is usually the easy part. Coordinating channels, timing, approvals, and launches is where things slow down. Interesting to see Creatify tackling that side of the workflow too.
Creatify Agent, Wave 2. You watched it make the ad. Now watch it run the whole campaign. It learns your brand. Directs a cinematic spot — no slop. Connects to Meta, TikTok, and Google, and launches on the date you pick. The agent didn't get an update. It got promoted. Drop your product below.
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Orikan retweeted
Creatify Agent, Wave 2. You watched it make the ad. Now watch it run the whole campaign. It learns your brand. Directs a cinematic spot — no slop. Connects to Meta, TikTok, and Google, and launches on the date you pick. The agent didn't get an update. It got promoted. Drop your product below.
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The bottleneck was never getting answers out of AI it was getting people to actually consume them most AI outputs end up as long reports that get skimmed once and forgotten turning those same answers into videos feels like the missing layer
Jun 9
Hyperframes is now an official @claudeai connector LLM answers are often dense pages of text that go unread we partnered with anthropic to fix that, @HyperFrames_ runs as an mcp where you work docs get skimmed. video gets understood proof: this video was made with Hyperframes
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Orikan retweeted
Jun 9
Hyperframes is now an official @claudeai connector LLM answers are often dense pages of text that go unread we partnered with anthropic to fix that, @HyperFrames_ runs as an mcp where you work docs get skimmed. video gets understood proof: this video was made with Hyperframes
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Orikan retweeted
Nano Banana 2 & Zeely 🍌🍌 You loved this ad so much, we recreated it to show you that endless variations are possible. Take any ready-made template, swap in your own asset, and give it a fresh spin. Only for 7h: get 500 credits. RT, like, follow & comment "Zeely".
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Most floor plan tools expect you to have everything figured out before you start. This flips the process. Sketch the parts you're certain about, let AI generate the missing layout, then iterate from there. The jump from rough idea → usable floor plan is surprisingly fast.
Draw any floor plan shape. Add the rooms youʼre sure about. Maket completes the floor plan without moving them. Start with what you know. Generate the rest. 👇
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The "start with what you know" approach is what stood out to me. A rough sketch is usually where ideas get stuck. Being able to turn that into a complete floor plan and immediately explore it in 3D makes the iteration loop much shorter.
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Orikan retweeted
Draw any floor plan shape. Add the rooms youʼre sure about. Maket completes the floor plan without moving them. Start with what you know. Generate the rest. 👇
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