This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
US/UK/Canada/Europe/Dubai SMBs lose $250K a year to missed calls and burn $55K per support hire. Velmora fixes both. We orchestrate OpenAI, Twilio, and n8n into 4 AI agents — Receptionist, Billing, Marketing, Support — replacing $150K+ in headcount for $23K/year. 6-10x ROI in Year 1. What makes it different: We don't build models from scratch. We orchestrate existing production-ready tech into a turnkey platform. Zero R&D lag. Ready Day 1.
Hey Product Hunt 👋
I'm Rupesh, founder of Velmora. I built this because I watched my father's small business in Hathras, India lose customers to missed calls and burn money on hiring cycles.
That frustration became Velmora — 4 AI agents (Receptionist, Billing, Marketing, Support) on one platform, replacing $150K+ in SMB headcount for $6K/year.
What's different? We don't build from scratch. We orchestrate OpenAI + Twilio + n8n into a turnkey workflow. Zero R&D lag, ready Day 1.
Would love your feedback — and if you know an SMB drowning in missed calls, tag them below.
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About Velmora on Product Hunt
“4 AI agents that replace $150K in SMB headcount”
Velmora was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #108 on the daily leaderboard. US/UK/Canada/Europe/Dubai SMBs lose $250K a year to missed calls and burn $55K per support hire. Velmora fixes both. We orchestrate OpenAI, Twilio, and n8n into 4 AI agents — Receptionist, Billing, Marketing, Support — replacing $150K+ in headcount for $23K/year. 6-10x ROI in Year 1. What makes it different: We don't build models from scratch. We orchestrate existing production-ready tech into a turnkey platform. Zero R&D lag. Ready Day 1.
Velmora was featured in Design Tools (263k followers), Productivity (661.9k followers) and Artificial Intelligence (479.9k followers) on Product Hunt. Together, these topics include over 333.9k products, making this a competitive space to launch in.
Who hunted Velmora?
Velmora was hunted by Rupesh kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Velmora stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rupesh kumar