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I run a small open-source project Deepkit (Trademark 017875717) I&#x27;ve been building for many years. It&#x27;s not huge, just a few thousand users compared to the big OSS names, but to me it was worth protecting, so I trademarked the name in the EU and US a few years back. I had hoped to be protected from other corporations this way and live peacefully.A $160M-funded company named Deepki (Trademark 1751952) came along and filed for cancellation at EUIPO since they needed the trademark now after getting lots of funding. They won. Now my trademark is gone.The frustrating part? The EU actually does allow open-source (even free projects) to have trademarks, but you have to prove &quot;genuine use&quot; in the EU for the goods&#x2F;services your trademark covers. Which seems to force you in collecting user sensitive data otherwise you are entirely unable to prove that you have actual users in the EU. I generally try to collect as little information as possible (also because I don&#x27;t care where my users are coming from). I had google analytics running for some time on the main page (not documentation), but most of the time it didn&#x27;t work and it seems most of my users block it anyway.Here&#x27;s what I gave the EUIPO and why they said no:- Google Analytics for my site with a full country breakdown from 2018–2023. A few hundred to ~1,800 EU visitors per year per country. They said that’s &quot;too small&quot; to count as real commercial exploitation for my Class 9 software. Also, they said they couldn’t tell which goods those visits were actually for.- npmjs + GitHub stats - hundreds of thousands of downloads and thousands of stars. Rejected because there&#x27;s no location data, so they couldn&#x27;t confirm if the usage was in the EU. In some cases, they said the timeframes weren&#x27;t even clear.- They basically kept repeating that they couldn&#x27;t clearly link any of the usage to the specific goods&#x2F;services my trademark was registered for.The conclusion:&gt;Conclusion: It follows from the above that the EUTM proprietor has not proven genuine use of the contested mark for any of the goods and services for which it is registered. As a result, the application for revocation is wholly successful and the contested European Union trade mark must be revoked in its entirety. According to Article 62(1) EUTMR, the revocation will take effect from the date of the application for revocation, that is, as of 18&#x2F;03&#x2F;2024.&gt;COSTS: According to Article 109(1) EUTMR, the losing party in cancellation proceedings must bear fees and costs incurred by the other party.They even admitted there&#x27;s no strict minimum for usage, and free software can count, but in their eyes my EU traffic was too low and not clearly tied to the trademarked goods.I also have the US trademark for the name. This same company tried to register in the US around 2022 (Trademark #79379273) and got blocked because it was too similar (decision made by USPTO). But a few months ago they somehow got it registered there too (Trademark #7789522), not sure how they did that now.Now I&#x27;m sitting here wondering:- Is it even worth getting a second opinion and appealing in the EU? I mean the project is very small.- Should I fight the US registration?- Or should I just walk away from trademarks altogether for my open-source projects. I lost so much money because of this already.- And for OSS projects in general, is there even a practical, privacy-friendly way to prove EU usage without generating revenue?- Is it even worth holding the trademark if proving EU usage is this brittle for OSS? If the trademark can be deleted just like that even after spending a few thousands dollars on lawyers. Probably a skill issue, but still, damn.It sucks to lose the name I&#x27;ve been building for years to a corporation with $160M behind them, especially when this is just a side project I do in my spare time, and to them I&#x27;m a nobody. If nothing else, maybe my case can be a cautionary tale for other OSS maintainers.

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Hey HN! We’re Shraman and Shreyas Kar, building Golpo (<a href="https:&#x2F;&#x2F;video.golpoai.com">https:&#x2F;&#x2F;video.golpoai.com</a>), an AI generator for whiteboard-style explainer videos, capable of creating videos from any document or prompt.We’ve always made videos to communicate any concept and felt like it was the clearest way to communicate. But making good videos was time-consuming and tedious. It required planning, scripting, recording, editing, syncing voice with visuals. Even a 2-minute video could take hours.AI video tools are impressive at generating cinematic scenes and flashy content, but struggle to explain a product demo, walk through a complex workflow, or teach a technical topic. People still spend hours making explainer videos manually because existing AI tools aren’t built for learning or clarity.Our solution is Golpo. Our video generation engine generates time-aligned graphics with spoken narration that are good for onboarding, training, product walkthroughs, and education. It’s fast, scalable, and built from the ground up to help people understand complex ideas through simple storytelling.Here’s a demo: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=C_LGM0dEyDA#t=7" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=C_LGM0dEyDA#t=7</a>.Golpo is built specifically for use cases involving explaining, learning, and onboarding. In our (obviously biased!) opinion, it feels authentic and engaging in a way no other AI video generator does.Golpo can generate videos in over 190 languages. After it generates a video, you can fully customize its animations by just describing the changes you want to see in each motion graphic it generates in natural language.It was challenging to get this to work! Initially, we used a code-generation approach with Manim, where we fine-tuned a language model to emit Python animation scripts directly from the input text. While promising for small examples, this quickly became brittle, and the generated code usually contained broken imports, unsupported transforms, and poor timing alignment between narration and visuals. Debugging and regenerating these scripts was often slower than creating them manually.We also explored training a custom diffusion-based video model, but found it impractical for our needs. Diffusion could produce high-fidelity cinematic scenes, but generating coherent sequences beyond about 30 seconds was unreliable without complex stitching, making edits required regenerating large portions of the video, and visuals frequently drifted from the instructional intent, especially for abstract or technical topics. Also, we did not have the compute to scale this.Existing state-of-the-art systems like Sora and Veo 3 face similar limitations: they are optimized for cinematic storytelling, not step-by-step educational content, and they lack both the deterministic control needed for time-aligned narration and the scalability for 5–10 minute explainers.In the end, we took a different path of training a reinforcement learning agent to “draw” whiteboard strokes, step-by-step, optimized for clear, human-like explanations. This worked well because the action space was simple and the environment was not overly complex, allowing the agent to learn efficient, precise, and consistent drawing behaviors.Here are some sample videos that Golpo generated:<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=33xNoWHYZGA" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=33xNoWHYZGA</a> (Whiteboard Gym - the tech behind Golpo itself)<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=w_ZwKhptUqI" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=w_ZwKhptUqI</a> (How do RNNs work?)<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=RxFKo-2sWCM" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=RxFKo-2sWCM</a> (function pointers in C)<a href="https:&#x2F;&#x2F;golpo-podcast-inputs.s3.us-east-2.amazonaws.com&#x2F;files&#x2F;4c26c0cf-4938-4371-a74b-a78eb18acc86.mp4" rel="nofollow">https:&#x2F;&#x2F;golpo-podcast-inputs.s3.us-east-2.amazonaws.com&#x2F;file...</a> (basic intro to Gödel&#x27;s theorem)You can try Golpo here: <a href="https:&#x2F;&#x2F;video.golpoai.com">https:&#x2F;&#x2F;video.golpoai.com</a>, and we will set you up with 2 credits. We’d love your feedback, especially on what feels off, what you’d want to control, and how you might use it. Comments welcome!

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Built this for my LLM workflows - needed searchable, persistent memory that wouldn&#x27;t blow up storage costs. I also wanted to use it locally for my research. It&#x27;s a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I&#x27;m currently using in the repo.The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.

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