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).
Acticio analyzes proof-of-work signals across GitHub, portfolios, and shipped projects to help hiring teams identify real builders beyond AI-optimized resumes - so recruiters spend time interviewing candidates with real ownership signals, not just keyword matches. AI increased applicant volume, but not necessarily applicant quality. Acticio helps hiring teams investigate real proof-of-work signals before spending hours interviewing the wrong candidates.
Hey Product Hunt 👋
Over the last year, we noticed something changing in hiring:
Candidates can now generate highly optimized resumes in minutes using AI.
Most ATS systems still rank applicants based on:
- keyword matching
- formatting
- buzzwords
- resume optimization
But none of that proves someone actually built the work they claim.
We started building Acticio after seeing hiring teams drown in polished applications that all looked qualified on paper - especially for technical roles.
Instead of only reading resumes, Acticio analyzes proof-of-work signals across:
- GitHub activity
- portfolio projects
- deployed apps
- contribution consistency
- ownership patterns
- linked work inside resumes
The goal isn’t to replace interviews or ATS systems.
It’s to help recruiters and founders spend less time filtering keyword-matched noise and more time interviewing candidates with real execution signals.
One thing we learned while talking to recruiters and founders:
The hiring bottleneck is no longer finding applicants.
It’s filtering signal from noise.
Still early, but excited to hear feedback from recruiters, founders, engineers, and anyone hiring in the AI resume era 🙌
No comment highlights available yet. Please check back later!
About Acticio on Product Hunt
“Proof-of-work analysis for modern hiring”
Acticio was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #154 on the daily leaderboard. Acticio analyzes proof-of-work signals across GitHub, portfolios, and shipped projects to help hiring teams identify real builders beyond AI-optimized resumes - so recruiters spend time interviewing candidates with real ownership signals, not just keyword matches. AI increased applicant volume, but not necessarily applicant quality. Acticio helps hiring teams investigate real proof-of-work signals before spending hours interviewing the wrong candidates.
Acticio was featured in Hiring (15.3k followers), Developer Tools (512.4k followers) and Artificial Intelligence (468.5k followers) on Product Hunt. Together, these topics include over 169.7k products, making this a competitive space to launch in.
Who hunted Acticio?
Acticio was hunted by Yuvraj Paliwal. 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 Acticio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Yuvraj Paliwal