Tech Stories
Most of us use many apps every day. But once in a while, you install an app that makes you pause and think how is this free?
This list is made entirely of those apps. These are must-haves if you want apps that genuinely improve your phone experience, solve real problems while respecting your privacy And yes every single app on this list is open source. That means transparent, community-driven & built without compromises.
Google's spending billions training AI models. OpenAI's hiring armies of engineers. And somehow, a startup in Bengaluru just outperformed both of them.
Sarvam AI's new Vision model scored 84.3% on olmOCR-Bench—a brutal test that makes AI models read messy scanned documents, handwritten notes, and complex tables. Google Gemini 3 Pro got 80.2%. ChatGPT? A distant 69.8%.
If you're thinking "okay, cool benchmark, but who cares?"—fair. Here's why this matters: billions of documents across India are locked away in regional languages. Government records in Gujarati. Medical files in Tamil. Historical archives in Bengali. The big AI models can read these languages, but they mess up constantly—wrong characters, mangled words, useless output.
Sarvam doesn't. It's specifically trained on Indian scripts, and the results show. For the first time, Indian companies have an AI tool that can reliably digitize documents in 22 languages without sending everything to Google or OpenAI's servers.
A research team from Texas A&M and YouTube quietly dropped SparkVSR on GitHub. No big announcement or hype cycle. Just a repo and a paper.
Everyone right now is chasing text to video. Sora, Kling, Wan, the list keeps growing. But nobody is talking about the much harder problem sitting right underneath all of it. What happens when your existing footage, your old clips, your AI generated videos, just do not look good enough? You upscale them, the AI guesses, and you get flickering textures and smeared faces with zero way to fix it.
SparkVSR is the first tool I have seen that actually lets you step in and correct that.
Most people assume beating a Google model requires another massive frontier model. More parameters. More compute. That is just how the hierarchy usually works.
Reka Edge is a 7-billion-parameter model. Yet it manages to outperform Gemini 3 Pro on object detection benchmarks, and with quantization it can even run on devices like the Samsung S25.
That combination should not exist. A model small enough to fit on a phone outperforming a frontier AI system from Google on a specific but genuinely useful task is not something you expect to see in 2026. Yet here we are.
This is not a model that beats Gemini at everything. It does not. But where it wins it wins convincingly.
Over the years, I’ve experimented with dozens of utilities, searching for apps that do one thing exceptionally well without demanding attention or system resources. That’s when I discovered my “Tiny Tech Stack”, a collection of lightweight apps under 50MB each that handle essential tasks silently, reliably & efficiently. Like clipboard management to fast image compression, these tools turn boring work into seconds of effort.
If you’re still using Windows 10 in 2026, you’re not doing anything wrong. Windows 10 still works. Your PC still works. But one important thing has changed: Microsoft has stopped maintaining it.
That means security updates are no longer coming. Nothing breaks overnight, but over time, this matters. Not because something will instantly go wrong, but because an unpatched system slowly becomes more vulnerable the longer it stays online. At that point, staying secure becomes your responsibility.
For the past year, realistic AI video has mostly lived behind paywalls.
If you wanted cinematic motion, expressive faces, or physics that didn’t fall apart after three seconds, you needed access to a cloud model & usually a monthly subscription to go with it.
But something has quietly changed. In the last few months, a new wave of open-source video models has started running locally on consumer GPUs, the same RTX cards sitting under your desk right now.
Some need 6GB of VRAM. Others push into the 24GB “serious workstation” tier. A few can generate long shots with consistent motion. Another lets you control facial emotion with tagged precision.
They’re not perfect. But they’re closer to “industry-grade” than most people realize.
Here are 6 open-source video models that look scarily realistic & actually run on your GPU.
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