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VEKTRA
AI life-trajectory engine powered by vector Olympiad maths.
Traditional habit trackers are broken; they look at metrics as flat checklists. VEKTRA treats human optimization like physics: Vector = Magnitude x Direction. Ingest multi-variable text logs (focus hours, burn rates, code pushed) via an asynchronous Python/Render background engine. Built natively on GitHub Pages with a Supabase database, our AI engine delivers brutal daily text summaries and weekly trajectory analytics to kill productive leaks.
Hey Product Hunt!
I'm Elvis, the solo technical founder behind VEKTRA. I made the terrifying choice to drop out of my Clinical Medicine degree to build an AI flight-recorder for human momentum.
Traditional self-improvement utilities are structurally flawed—they focus on flat habit streaks. You can check off a "wake up at 5 AM" box every day, but if your directional alignment is mismanaged, your actual displacement is zero. As a former Kenya Mathematical Olympiad finalist, I wanted to treat human velocity as a true vector.
I engineered the entire stack independently on a 2GB RAM machine:
• Frontend: Lean HTML/CSS deployed natively on GitHub Pages
• Backend: Python (Flask/FastAPI) containerized on Render
• Database: Supabase running optimized SQL composite indexes
• Core Engine: OpenAI, Gemini & Anthropic APIs parsing unstructured user data
VEKTRA is built for developers, hackers, and high-achievers who are sick of superficial gamified checklists and are starving for brutal, data-driven daily truths.
We are officially launching today with live global credit card and mobile money infrastructure via Paystack. I'm giving the Product Hunt community a 25% lifetime discount before the early-bird door slams shut on September 9th.
I’ll be here all day responding to feedback. Tell me where my architecture can improve, or stress-test the AI engine and let the numbers speak!
About VEKTRA on Product Hunt
“AI life-trajectory engine powered by vector Olympiad maths.”
VEKTRA was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #121 on the daily leaderboard. Traditional habit trackers are broken; they look at metrics as flat checklists. VEKTRA treats human optimization like physics: Vector = Magnitude x Direction. Ingest multi-variable text logs (focus hours, burn rates, code pushed) via an asynchronous Python/Render background engine. Built natively on GitHub Pages with a Supabase database, our AI engine delivers brutal daily text summaries and weekly trajectory analytics to kill productive leaks.
On the analytics side, VEKTRA competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how VEKTRA performed against the three products that launched closest to it on the same day.
Who hunted VEKTRA?
VEKTRA was hunted by ELVIS OBULEMIRE. 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.
For a complete overview of VEKTRA including community comment highlights and product details, visit the product overview.
ELVIS OBULEMIRE