Arjav

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Arjav

Arjav

@vu3ozm

I love to build new products | @GSofA Alumni | I hunt for interesting products on @producthunt

India Katılım Ağustos 2009
367 Takip Edilen781 Takipçiler
Arjav
Arjav@vu3ozm·
Hey @avnish, just heard about Baazee from my uncle, who had a competing product at the time and eventually wound it down.. He had nothing but respect for what you built.. Not every startup survives the arena, but Baazee didn't just survive, it defined it.. Kudos 🎉
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Arjav
Arjav@vu3ozm·
@fmerian I enjoy reading your thoughts in the forums. About the launches I guess something stood apart for me was the V0 for iOS launch :)
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fmerian/launch
fmerian/launch@fmerian·
@vu3ozm thank you! what’s one launch that really stood out from your perspective?
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fmerian/launch
fmerian/launch@fmerian·
Personal milestone: 40,000 followers on Product Hunt
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Arjav
Arjav@vu3ozm·
Those gaps are where deals quietly lose shape. That gap is exactly where @buddi_ai operates. By holding the full context steady while everything else slows down. So momentum doesn’t depend on perfect timing.
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Arjav
Arjav@vu3ozm·
Longer sales cycles are a natural outcome of today’s market. More stakeholders. More approvals. More time between conversations.
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Arjav
Arjav@vu3ozm·
@driving_ai2025 This isn’t a tooling debate. It’s a mental model debate. Linear visibility vs stateful control.
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Driving AI Solutions
Driving AI Solutions@driving_ai2025·
Dive into the n8n vs LangGraph showdown! On the left, n8n’s Visual Agent Workflow walks you through User Input → AI Agent → Tool Call & Memory → Decision → Response. On the right, LangGraph’s Graph-based Agents use State → Agent 1 & 2 → Tool Node → Conditional flow
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Arjav
Arjav@vu3ozm·
@CryptoTeca__ Agree with the thesis. Once wearables become decision infrastructure, switching costs show up fast. Curious who you think actually controls that layer long term.
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TECA
TECA@CryptoTeca__·
AI is already everywhere. But when it comes to wearables, access is still uneven, powerful for enterprises, confusing for everyone else. That’s where the real shift is happening. The story isn’t about smarter watches or cooler glasses. It’s about who turns body-level data into usable decisions. Key signals worth noticing: ▸ wearables have moved from consumer toys to enterprise infrastructure ▸ adoption is driven by training, safety, and remote operations, not lifestyle hype ▸ value is concentrating in platforms that control integration, pricing, and long-term contracts This is why the wearable market is scaling fast, and unevenly. The winners won’t just ship devices. They’ll own the layer that makes sense of fragmented data and reduces decision risk. This is why @EdgenTech stands out. Instead of adding more dashboards, Edgen compresses scattered information into one structured view, cutting uncertainty, shortening decision time, and exposing hidden risk. Same logic applies to portfolios. Edgen’s AI analyzes exposure, concentration, and volatility, then highlights where resilience breaks before it becomes obvious. I’m watching this space closely.
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Arjav
Arjav@vu3ozm·
@0xgilllee Wearables didn’t fail before. They were just waiting for a job serious enough to justify them. Enterprise found it first.
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Gilmo
Gilmo@0xgilllee·
I still remember when PlayAI’s Mad Rims went viral for wearable AI. Then I realized, outside the spotlight, businesses had already embraced wearables. They’ve used them for years in training, safety audits, and remote ops. What started as flashy gadgets is evolving into infrastructure. fyi: The wearable AI market is projected to grow from $36.38b in 2025 to $65.8b by 2030, with 12.4% CAGR. This comes from healthcare and industrial use cases, where biometric data and real-time assistance create measurable impact. + Apple and Samsung lead in consumer adoption. + Microsoft and Vuzix are shaping enterprise deployment. At the center of it, @EdgenTech’s 360° report shows one thing clearly: research speed drives edge. Wearables are moving from novelty to actual infra.
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Ed by Edgen@EdgenTech

wearable AI is everywhere now watches tracking health, glasses helping people work, AI literally sitting on our bodies but there's one part no one talks about. who actually makes money from this 👇

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Arjav
Arjav@vu3ozm·
@EdgenTech Users get convenience. Companies get leverage. That’s usually where the money goes. Who do you think actually wins here?
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Ed by Edgen
Ed by Edgen@EdgenTech·
wearable AI is everywhere now watches tracking health, glasses helping people work, AI literally sitting on our bodies but there's one part no one talks about. who actually makes money from this 👇
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Arjav
Arjav@vu3ozm·
That’s why we built @buddi_ai, your companion to chaos. Buddi will quietly record, analyse, summarise all your conversations while giving you actionable items. It allows you to search through your memories, the same way you have wished with your brain but haven't been able to.
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Arjav
Arjav@vu3ozm·
Founders love saying “I’ll remember this" Be Honest. You won’t. Things move too fast. Conversations scatter across calls, DMs and notes. Context fades before you notice. (1/2)
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Arjav
Arjav@vu3ozm·
@ogheneovie_o Voice notes work when they respect attention. Most don’t.
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Arjav
Arjav@vu3ozm·
@ericmigi You can tell when a product is built by someone who understands constraints. This is one of those.
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Eric Migicovsky
Eric Migicovsky@ericmigi·
Pebble Index 01 details - always on you (never need to take it off) - battery lasts for years (doesn't need charging) - open source app - local AI models (no internet connection needed) - customize with actions and MCPs - just $75!
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Eric Migicovsky
Eric Migicovsky@ericmigi·
We just launched a new product - @Pebble Index 01 It's a small ring, with a button and mic. Press the button, talk and it saves your thought. I use it many times during the day to jot down reminders, todos, book recs, etc while my hands are full. Just $75 - preorders open today
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Arjav
Arjav@vu3ozm·
@tanayj This isn’t about wearables. It’s about persistent memory for people who live in conversations.
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Tanay Jaipuria
Tanay Jaipuria@tanayj·
Plaud may be the most successful AI wearable to date: • Records, transcribes and summarizes meetings • 1M units sold, largely to doctors/lawyers/salespeople • ~$250M annualized revenue • Bootstrapped and now profitable
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Arjav
Arjav@vu3ozm·
@buddi_ai With @buddi_ai you have an ai wearable companion that takes care of recording, transcribing & summarising conversations with action items. Searchable memories make sure you never forget anything. Thinking is still very much human, for memory, use @buddi_ai (3/3)
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Arjav
Arjav@vu3ozm·
In business, context is key but we are expected to remember points from the last meeting, usually from frantically written inaccurate notes. This isn't your fault, it's flawed expectations in a heavily distracted world. That's why we built @buddi_ai. (2/3)
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Arjav
Arjav@vu3ozm·
I stopped pretending I remember everything and you should too. As kids we had to cram & we cumulatively agreed that it was a BAD idea. Then why as adults do we think we will remember everything? (1/3)
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Arjav retweetledi
Buddi AI
Buddi AI@buddi_ai·
🚀 New update: Buddi now works offline. Record, transcribe, and capture conversations even without internet or phone connection. Sync everything later effortlessly.. 😎
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Arjav
Arjav@vu3ozm·
@hey_sandipan Sure looking forward. Would be happy to support you with launch (PH) whenever you want, if you'd like :)
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Sandipan Bera
Sandipan Bera@hey_sandipan·
@vu3ozm Appreciate it! 🙌 I’ll be opening early access soon it’s a fully offline AI where models run on-device, and you can even change the system prompt to make it your own assistant. Will DM you once a test build is ready!
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Sandipan Bera
Sandipan Bera@hey_sandipan·
LokalMind — your personal AI that runs entirely offline. No cloud. No data sharing. Just pure intelligence that stays with you. Privacy isn’t a feature. It’s the foundation. 🔗 Join the waitlist forms.gle/28eJvhDKB9Szje…
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