Video Testimonials with an AI Sincerity Certificate

01 /The Concept

MyCredibility helps freelancers and job seekers prove their skills through testimonials from clients and colleagues – with a distinctive twist on both how those testimonials are captured and how they're validated:

- Testimonials are delivered as video clips

- Each testimonial is accompanied by a "sincerity certificate" automatically issued by MyCredibility at the time of submission

A client or recruiter receives a profile link from the freelancer or candidate. The profile page contains a video introduction, a résumé, links to downloadable supporting documents, and a set of video testimonials from clients or colleagues.

The link doesn't have to be sent directly – it can simply be posted in an Upwork, Fiverr, or Indeed profile, or attached to a job application.

Why video testimonials specifically? Because 64% of people say they're more likely to purchase a service after watching a video about it – and people today consume video far more readily than text.

The claimed result: 71% of freelancers using MyCredibility report an increase in client volume.

Every video on the profile – including the introduction and the testimonials – is accompanied by a numerical rating calculated by MyCredibility. This rating reflects the speaker's sincerity and confidence level.

Clicking on a video reveals the individual parameters that make up that score: energy, enthusiasm, emotionality, thoughtfulness, confidence, focus, engagement – along with indicators of awkwardness, stress, and uncertainty.

These parameters are computed by an AI engine trained specifically to detect such signals from a person's voice, using 151 distinct markers identified by one of the co-founders – who holds a US patent on the underlying voice analysis technology.

To collect testimonials, the user sends contacts a link to their profile page. From there, reviewers can record and submit a testimonial in one click using the camera on their phone or computer.

It's also possible to upload a pre-recorded video. This is particularly useful at the start, when someone needs to manually gather those first few testimonials – so that new recipients arrive to a profile that already has content and doesn't feel like a blank slate.

Usefully, one account can host multiple profiles – handy for someone who works simultaneously as a software developer, a freelance coder, and a handyman. Each profile contains a separate video introduction, separate portfolio materials, and separate testimonials.

Paid plans cost $9 or $15 per month ($80 or $110 annually), depending on the number of testimonials and documents the user wants attached to their five profiles.

The company is confident enough in the product to offer a money-back guarantee if a subscriber doesn't land a new client or job offer within 60 days of signing up.

MyCredibility recently completed a soft launch without major marketing – the founders say they're testing the market. Despite the low-key start, they've raised $1 million in initial funding to accelerate growth.

02 /Why It Matters

MyCredibility's pitch to potential users is straightforward: stand out on Fiverr, Upwork, or any job platform. In a feed full of text profiles, a video-backed profile with sincerity scores is genuinely unusual.

Unusual commands attention. In an attention economy – where the largest share of marketing spend goes toward breaking through the noise – capturing even a few seconds of genuine curiosity is half the battle.

What percentage of people in any context are actually willing to stand out – with bright clothing, unconventional behavior, or video testimonials? Maybe 5%?

With 76.4 million freelancers in the US alone, 5% is 3.82 million people. At $9/month, that's roughly $35 million in monthly revenue. Comfortable margins for a lean team.

And if the profiles gain real traction, the pitch shifts naturally: from "stand out from the crowd" to "everyone's doing this – what are you waiting for?" That second-wave positioning generates its own momentum.

Voice and facial analysis technology is not new. Startups have already applied it to assess loan applicants' creditworthiness – recording interviews at bank branches and running the footage through scoring software before approval decisions are made.

AI is broadly a powerful tool for surfacing hidden intent and motivation. ForMotiv ([related review](/review/vygodnaja-informacija-iz-niotkuda)) built an engine that tracks how users fill out insurance applications online – keystroke cadence, pauses before certain fields, hesitation patterns. Based on those behavioral signals, it scores applications from "potential fraud" to "strong customer." ForMotiv raised $9.4 million on that product.

03 /Opportunities

What MyCredibility did well is find a non-obvious application for a technology that already works.

Using AI to detect hidden intent to flag insurance fraud or infer what a shopper is looking for – those are obvious plays. Using it to certify the sincerity of a stranger's testimonial, to help a freelancer win new business – that's a leap most people wouldn't make.

The deepest insight is that what's being evaluated isn't primarily the freelancer's own sincerity – it's the sincerity of people vouching for them. A skilled self-promoter can learn to perform authenticity on camera. Getting a client or colleague to fake sincerity on someone else's behalf is a much harder problem to fake. That asymmetry is what makes the credibility signal actually credible.

The broader takeaway is worth pausing on: the most interesting product opportunities often come from applying a known technology in an unexpected context. The better applications have large addressable audiences – so that even a small adoption rate translates into meaningful absolute numbers. That's exactly the bet MyCredibility is making.

For illustration: imagine applying the same voice sincerity analysis to public company earnings calls. Executives from listed companies answer questions from journalists and shareholders every quarter. A platform that scores those sessions and assigns transparency ratings – which retail investors could consult before buying or selling a stock – is a novel application of the same underlying technology.

Extend the concept further: apply the sincerity analysis not just to executives, but to the "experts" who then appear on financial media recommending whether to buy those same stocks.

What share of America's 160 million-plus individual investors might want one more signal informing their decisions? Even 0.5% is close to 1 million people. The point isn't this specific idea – it's the method: find a technology that detects something real, and look for a context where that detection creates unusual value.

What unexpected applications of existing AI capabilities can you imagine that would have broad consumer appeal?