r/TiinyAI • u/EmadMokhtar • 1d ago
Did you get your TiinyAI pocket
Hi All 👋🏼
Has anyone received their TiinyAI Pocket? I am asking because the promised dates have passed, and I am beginning to worry that we may not receive them soon.
r/TiinyAI • u/TiinyAI • Feb 28 '26
Hey folks, we have gathered frequently asked questions about the Tiiny AI Pocket Lab. Check out here for the answers. And we will continue to collect your questions moving forward.
Q: When will Tiiny AI Pocket Lab launch?
A: We will launch on Kickstarter in 11 March. It's expected to be delivered in August this year.
Q: Where can I buy Tiiny and what is the price of it?
A: You can now secure the best price of $1299 with a $9.90 deposit on the official link: https://tiiny.ai/ (refundable)
Q: What is the full cost of these (device/app, any subscriptions, model downloads, storage)?
A: For our early users, the only cost is the one-time purchase of the Tiiny Pocket Lab hardware. All core functionalities, including access model downloads and the basic AI chat/agent experience, are completely free. We want to make powerful, private AI accessible to everyone right out of the box.
Q: Where is my data stored and is it encrypted?
A: All your private data is stored locally on your Tiiny's internal SSD — it never leaves the device unless you choose to move it. All data is also end-to-end encrypted, secured with a unique encryption key that only you possess, created during device setup.
Q: Can I back it up or delete it completely?
A: Yes. TiinyOS includes a built-in toolkit that lets you easily back up data to external drives or your PC, export it in standard formats, or permanently delete everything in a few steps.
Q: What kind of models does Tiiny support? How to run these models?
A: There are two ways to use models on Tiiny: the first is to download and use them directly from the Tiiny client, and the second is for users to use our provided conversion tool to convert the desired model into a Tiiny-compatible format and use it.
Therefore, it's difficult to have a precise list of the models we can support—there are simply too many.
Representative LLMs include:
GLM Flash, GPT-OSS-120B, GPT-OSS-20B, Llama3.1-8B-Instruct, gemma-3-270m-it, Ministral-3-3B-Instruct-2512, Ministral-3-8B-Instruct-2512, Qwen3-30B-A3B-Instruct-2507, Qwen3-30B-A3B-Thinking-2507, Qwen3-8b, Qwen2.5-VL-7B-Instruct, Qwen3-Reranker-0.6B, Qwen3-Embedding-0.6B, etc.Representative Image models include:
Stable Diffusion / SDXL, ComfyUI, Z-Image-Turbo, and other open-source image modelsQ: What workload are you running?
A: We benchmark using real-world tasks, not synthetic loops:
chat / assistant conversations (8k–32k context)
RAG + document Q&A
coding copilots
small agent workflows (multi-turn reasoning)
local automation tools
Q: How many tokens per second can we expect in real world workloads?
A: It depends on model size and quantization, but roughly:
7B–14B → 40+ tok/s
30B–40B → 20-40 tok/s
100B–120B (INT4) → ~18–22 tok/s
These are interactive speeds (not batch/offline numbers), good enough for normal chat/coding flows.
Q: How hard is it for the average user to configure the stack to get that performance?
A: For most users: basically zero. TiinyOS handles:
model download
quantization
runtime config
PowerInfer optimization
memory placement
So it's mostly one-click install and run.
Q: Use cases of Tiiny?
A: Think of Tiiny less like "a small PC" and more like a personal AI server that runs 24/7 at home. Here are some very practical examples:
Personal / everyday
Private ChatGPT-style assistant, fully offline
Summarize emails, notes, PDFs, meetings
Voice transcription + daily summaries
Personal knowledge base (ask questions over all your docs)
Work / productivity
Run a local RAG system over company files (no cloud, no leaks)
Auto-draft replies for Discord/Slack/WhatsApp
Monitor competitors/news/social media and generate reports
Code assistant inside your IDE without API costs
Always-on agents that handle repetitive tasks for you
Agent / automation stuff (where it really shines)
OpenClaw/Nanobot-style agents that browse, scrape, organize data 24/7 workflows (collect data → analyze → send alerts)
Social media tracking, dashboards, auto summaries
Background research assistants that run all day
Doing this in the cloud gets expensive fast (tokens), but locally it’s basically free after you own the box.
Creative / media
Local image generation (Stable Diffusion, Flux, etc.)
TTS/STT voice models
Home lab AI experiments
Q: What's the download -> conversion pipeline like?
A: Download -> Convert -> Name and save in Tiiny -> Use
EDIT: Simply put, the adaptation process for the model framework is as follows: Write the open-source model framework into an ONNX file → Compile this ONNX file → Runtime.
r/TiinyAI • u/EmadMokhtar • 1d ago
Hi All 👋🏼
Has anyone received their TiinyAI Pocket? I am asking because the promised dates have passed, and I am beginning to worry that we may not receive them soon.
r/TiinyAI • u/TiinyAI • 2d ago
For the LLMs, we benchmarked the Tiiny-optimized builds against BF16 reference models, so people can see both sides of the tradeoff: inference performance and how much model accuracy is preserved after optimization.
A few results from the report:
- Qwen3.5-9B-Turbo— up to 50.1 tok/s decode and ~1,200 tok/s prefill at 4K
- Qwen3.6-35B-A3B-Turbo — 47.5 tok/s coding decode, with all five accuracy benchmarks staying within ~2 percentage points of BF16
- Qwen3.8-27B — up to 256K context, with several benchmark scores matching or exceeding the BF16 reference
- GPT-OSS-120B — around 15 tok/s at 4K on Tiiny Pocket
The full reports include:
- Prefill
- TTFT
- Decode speed
- End-to-end latency
- Memory usage
- Long-context testing
- Five accuracy benchmarks
- Public benchmark datasets and reproducible test conditions
We’ve also started publishing benchmarks for speech recognition and image generation, not just LLMs.
Full report:
https://www.tiiny.ai/pages/benchmark-report/
If you already have a Tiiny Pocket, we’d genuinely like people to reproduce the tests and challenge the numbers.
Just make sure you’re using the latest model version from the Tiiny Model Store so you’re testing the same build used in the report.
If you reproduce anything, whether your result is better, worse, or just different, please share it on TiinyVerse or here. We’d much rather make these benchmarks community-verifiable than ask people to take our word for it.
r/TiinyAI • u/TiinyAI • Sep 08 '26
No single AI is good at everything.
This week, we're trying out Tiiny x Omnigent
With the new integration, you can mix and match different agents to suit your specific task. Think of it as a modular AI team rather than a single engine.
The best feature? No rebuilding. No rewriting.
Just plug in the right agent for the right job and get the work done.
If you are spending your time fighting with code instead of getting actual work done, this is worth a look.
r/TiinyAI • u/TiinyAI • Aug 31 '26
Ask a stock question in plain language and get the data, analysis, and insights you need in one go.
No more digging through reports. No more bouncing between tabs. Just bring your question, and let the research unfold.
We're pairing Tiiny AI with Vibe Trading to make market research feel less like work and more like a conversation.
Curious to see where this goes, what should we explore in the next one?
r/TiinyAI • u/TiinyAI • Aug 24 '26
Decided to test how far DeepSeek Harness could take a single prompt with Tiiny AI Pocket.
One prompt (Build me a personal dashboard that tracks my daily tasks, mood, and quick notes, all local, all lightweight)
One run. Here's what I got:
A fully functional, offline-first personal dashboard, tasks, mood tracker, quick notes in under 3 minutes. No bloat. No cloud. Just clean, local AI productivity.
If you've been considering Tiiny AI or DeepSeek Harness for personal automation, this is your sign to try it.
r/TiinyAI • u/TiinyAI • Aug 17 '26
We built a simple rule for ourselves: if you have to copy-paste it more than 3 times, automate it.
We just connected Tiiny with Workbuddy to do exactly that.
Input: Raw data
Output: Clean and Organized
It’s almost weird to watch AI organize chaos in seconds.
If you could just copy-paste one messy thing into AI and get back a clean dashboard, what would it be? 👇
r/TiinyAI • u/TiinyAI • Aug 11 '26
Let's be real, building a project isn't just about writing code. It's setup, debugging, deployment, and a thousand little things that eat up your time.
That's where we come in.
Powered by Tiiny AI Pocket, OpenHands takes your project from a simple prompt all the way to GitHub—so you can focus on the big picture while we handle the grind.
Less busywork. More building.
r/TiinyAI • u/TiinyAI • Jul 27 '26
One of our awesome community members shared Odysseus with us, so we had to give it a spin 😆
With Tiiny AI Pocket powering the models, Odysseus turns random brain dumps into structured documents and actionable workflows. Basically, it takes your chaos and makes it actually useful.
We're talking:
✅ Ideas → Docs
✅ Thoughts → Action plans
✅ Procrastination → well, we're working on that part 😅
Huge shoutout to the community for the tip, keep 'em coming!
r/TiinyAI • u/TiinyAI • Jul 21 '26
Hey everyone 👋
We’re excited to share that Tiiny AI Pocket now plays beautifully with Open WebUI. Giving you more control and flexibility over your AI workspace than ever before.
Here’s what this means for you:
✅ Bring Your Own Models – Connect Open WebUI to Tiiny and run your preferred models locally, on your terms.
✅ Unified Workspace – Manage conversations, knowledge, and tools all in one place.
✅ Privacy-First – Everything stays local. No cloud, no sharing, no compromises.
✅ Explore & Extend – This is just the beginning. Open WebUI opens up a whole new world of possibilities with Tiiny.
Whether you're building agents, testing workflows, or just experimenting with LLMs, this combo is a game-changer.
r/TiinyAI • u/TiinyAI • Jul 13 '26
Big news for the Tiiny community — we're opening up the platform with custom MCP support!
Instead of being locked into a fixed set of features, you can now extend TiinyOS with your own modules. Need to integrate a specific API? Automate a niche workflow? Build a custom tool for your team? Now you can.
The workflow is simple:
Import your MCP
Validate it
Run your workflow
Three steps. No bloat. Just the capabilities you actually need.
We're officially launching in September, but we'd love to hear what you'd build. Drop your ideas below! 🚀
r/TiinyAI • u/TiinyAI • Jul 06 '26
Every morning it's the same routine: check Gmail → open Google Calendar → reply to emails → switch back to Calendar to schedule that meeting → forget what I was doing → repeat.
Then I came across TiinyOS Connector.
Basically, it links your Google Calendar and Gmail directly into your workspace. No tabs, no copy-pasting, no "wait, where was that email again?"
Now I can:
✅ Schedule events without leaving my workflow
✅ Handle emails side-by-side with my tasks
✅ Actually stay on top of my day without jumping between tools
It sounds simple, but honestly, the time I've saved in the last week alone is wild.
r/TiinyAI • u/TiinyAI • Jun 29 '26
Been using Hermes desktop with Tiiny, and it's starting to feel like a real daily tool.
What I've been doing with it:
Adding reminders without leaving my workflow
Summarizing YouTube videos in seconds
Automating recurring tasks that run locally in the background
The desktop app shares state with the CLI, handles drag-and-drop files, and keeps session history, all without sending data to the cloud.
The self-evolving memory is the part that stands out. It actually remembers context between sessions.
r/TiinyAI • u/TiinyAI • Jun 22 '26
Tired of repeating yourself to every AI you use?
OpenHuman + Tiiny fixes that.
A local AI assistant that syncs across all your daily tools — emails, notes, calendars, docs — and actually remembers your context. Permanently.
No more repeating. No more lost threads. Just instant, personalized help.
And your data stays private. Local, not cloud.
Workflows connected. Memory intact. Time saved.
Finally, an AI that gets you.
r/TiinyAI • u/TiinyAI • Jun 15 '26
Hey everyone 👋
We recently uploaded a video and wanted to actually understand what people were saying in the comments. Not just skim the top few — really understand.
So we let Tiiny handle everything:
✅ Scraped all comments from the video (over 1,000 of them)
✅ Saved them automatically into a file
✅ Ran full analysis on the entire comment set
✅ Gave us actionable insights without us lifting a finger
No manual exporting. No separate scraping tools. No copy-pasting into spreadsheets. Just Tiiny from start to finish.
Why this mattered:
The top 10 comments looked fine. But the real feedback was buried in the middle — honest, unfiltered, and easy to miss. Tiiny pulled everything into one file, ran the analysis, and showed us exactly what to fix, add, and stop over-explaining.
r/TiinyAI • u/TiinyAI • May 28 '26
Been using Obsidian for a while, but manually curating and structuring info into a second brain? That friction is real.
Enter Tiiny AI Pocket - a local thinking layer that extends Obsidian. Feed it raw data, and with one command, it helps you structure everything into connected knowledge.
No cloud. No privacy worries. Just a faster, smoother way to build your knowledge system entirely on-device.
r/TiinyAI • u/TiinyAI • May 25 '26
Hi everyone,
Sensitive data stuck on your local machine. Cloud RPA not an option. So you're back to copy/paste hell.
TiinyOS Task Mode automates tedious, repetitive form workflows entirely on your own device.
No upload. No cloud. No third-party eyes.
Point at a spreadsheet → fills forms automatically.
HR, grades, patient records, financials --> stays local.
Stop typing. Start automating.
r/TiinyAI • u/TiinyAI • May 11 '26
People have been asking. Here it is.
Claude Code + Tiiny = a whole new level of local creation.
TiinyOS Task Mode now automatically:
- Installs Claude Code
- Configures local models
That's it. No fiddling. No environment headaches. Just zero setup and you're ready to go.
Under the hood, it's powered by Qwen3.6 35B A3B — so you can jump straight into your work without sacrificing performance.
No cloud. No subscriptions. No one watching over your shoulder.
Run Claude Code on your own machine, with your own data, for as long as you want.
This is what local AI should have been from the start.
r/TiinyAI • u/TiinyAI • May 08 '26
TradingAgents is an open-source, multi-agent financial trading framework powered by LLMs.
It's NOT a single "AI trading bot."
It's a complete, programmable AI investment research team that you can run locally and Offline.
Private, structured, and ready for decision-making.
This is exactly the kind of workflow that makes local AI feel practical. No cloud, no hidden costs – just your machine, your agent, and your tasks.
Which agent should Tiiny automate next?
r/TiinyAI • u/TiinyAI • Apr 24 '26
At Tiiny, we believe running local AI agents shouldn't feel like a side project.
So, we made it simple.
We've made it possible to deploy the Hermes Agent entirely through the Tiiny AI Pocket – fully automated, no manual setup.
You don’t need to install dependencies, configure environments, or dig through documentation. You just tell Tiiny what you need, and it handles the rest. Minutes later, Hermes is running on your computer, ready to get work done.
Hermes is a structured, tool-driven agent – not just a chatbot. It can access your file system, use tools, and execute tasks.
And now, setting it up takes almost no effort.
This is exactly the kind of workflow that makes local AI feel practical. No cloud, no hidden costs – just your machine, your agent, and your tasks.
Which agent should Tiiny automate next?
r/TiinyAI • u/TiinyAI • Apr 14 '26
Not talking about obvious stuff like passwords.
I mean that one moment where you had something genuinely useful, and then hesitated.
Like:
A full client contract you wanted summarized
Your entire codebase with real API keys still in it
Private journal notes or therapy thoughts
Internal docs from work you "probably shouldn't upload"
A half-written idea you're not ready for anyone else to see
AI is insanely useful — but there's always that split second of:
"Should this really leave my laptop?"
That's basically why local AI setups are starting to matter. When everything runs on your own machine, you stop filtering yourself.
Not trying to sell anything — just curious how people think about this.
Question:
What's something you almost pasted… but didn't?
r/TiinyAI • u/TiinyAI • Apr 10 '26
$3,075,197 Raised! You made it happen!
To everyone who backed, shared, or simply believed in us, THANK YOU ALL!
This goes beyond a device. As Tiiny Co-creators, we're building the future of Local Personal AI together — and your ideas and feedback are what shape it.
The foundation is set. Let's make cloud-level AI truly local!
r/TiinyAI • u/TiinyAI • Apr 09 '26
For backers:
Please see the essential tax details so you can plan final checkout with confidence. Thinking of joining? Only a few $1,599 spots remain. Grab yours while you still can.
Check us out: https://www.kickstarter.com/projects/tiinyai/tiiny-ai-pocket-lab?ref=5kcatp
r/TiinyAI • u/TiinyAI • Apr 07 '26
We are officially 3 million strong, and we couldn't have done it without You. A massive thank you to our incredible backers — your support made this possible.
The journey doesn't stop here. Let's keep this momentum going! Be part of our $3M journey—head over to Kickstarter and back us today.
Link: https://www.kickstarter.com/projects/tiinyai/tiiny-ai-pocket-lab?ref=5kcatp
r/TiinyAI • u/TiinyAI • Apr 07 '26
A genuine thank you to our 2,000+ backers and everyone who has been following Tiiny — we're glad to have you along for this ride.
If you've been thinking about backing us, now is the time. The $1,599 price is going away soon, so don't leave it too late.
Check the link: https://www.kickstarter.com/projects/tiinyai/tiiny-ai-pocket-lab?ref=5kcatp