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Dharmik Parmarleft a comment
Feedback is everywhere — support tickets, Slack, emails, user calls, but turning it into clear, actionable insights is still a big challenge for most teams. ProductBridge seems to be tackling exactly that gap. If done well, this could really help teams prioritize better and build what users actually need. Curious, how does ProductBridge handle deduplicating and prioritizing feedback across...
ProductBridgeAgent that collects feedback across multiple platforms
Dharmik Parmarleft a comment
AI agents for demos are a fascinating idea. A lot of products struggle with showing value quickly, and if an AI agent can guide users through a product in an interactive way, that could significantly improve onboarding and conversions. Curious, can NAOMA adapt the demo flow based on different user personas or questions in real time? Congrats on the launch and excited to see how teams use this.
Naoma AI Demo AgentThe video AI demo agent for B2B SaaS for immediate demos
Dharmik Parmarleft a comment
Healthcare data is still incredibly fragmented, especially when people move between countries or providers. An app that can organize medical documents across languages, borders, and healthcare systems could remove a lot of friction for patients and doctors alike. Really interesting concept. Curious, how does HDA handle data privacy and interoperability with different healthcare providers?...
Health Data AvatarPrivacy-first cross-border health data management ecosystem
Dharmik Parmarleft a comment
Interesting launch! Most translation tools focus only on audio or subtitles, but translating on-screen text inside the video itself is a much harder problem. If this works well, it could be huge for: • creators localizing content globally • educational videos • marketing teams repurposing videos for different markets Curious, how does Vozo handle complex scenes where text moves or changes in...
Visual Translate by VozoTranslate text in your videos without recreating visuals
Every developer knows the loop: write code, run it, it breaks, paste the error into ChatGPT, fix, repeat. AI tools haven't solved this. They've just moved the chat window closer.
NOVA kills that loop.
Build: Describe your goal, NOVA writes the files.
Auto-Heal: Run your code, NOVA fixes errors automatically.
Janitor: Refactor any file on demand.
Git: Commit, push, pull inside the terminal.
pip install nova-bridgeye
What would make this irreplaceable for you?
NOVAAI coding that goes beyond suggestions