Connectd matches founders with domain experts who engage part-time – delivering senior insight at a fraction of the full-time cost.
ENTRY ANGLES
Fractional expert platform for startups · Improve upon existing fractional expertise models · Capture surge in startup demand for fractional talent
VERTICALS
CAPABILITIES
Expert network management and matching, Understanding of startup hiring needs
CONNECTD FOUNDER
“Or legendary Apple designer Jony Ive giving you weekly feedback on the product design of every feature you shipped.”
"Imagine Warren Buffett walking into your startup's office every week to point out the mistakes you made" "Or legendary Apple designer Jony Ive giving you weekly feedback on the product design of every feature you shipped." That's how Connectd's founder describes what his platform can do.
Connectd connects startups with experts who can help them grow more effectively.
The critical distinction: these experts don't join the startup full-time. The model is fractional – an expert engages on a regular or as-needed basis, at senior levels: part-time C-suite, founder advisor, or a non-executive board member role.
For the expert, this brings real upside: additional income streams, exposure to new domains that help them stay sharp in a fast-changing world, and new directions for their own career – not necessarily within the same startup, but in areas they've been immersed in while working with these companies.
There's also an energy dimension. Early-stage startups carry a momentum and vitality that large, established organizations often can't offer – and for experienced professionals, that energy can be exactly what keeps them intellectually alive and motivated.
The platform is global by design, meaning startups and experts can both build and share international expertise through it.
Currently, more than 6,000 participants are registered on the platform – roughly half experts, half startups.
About 150 new startups join each month, and startup demand for fractional experts has grown 220% over the past year – which has translated directly into Connectd's revenue growth. Revenue rose 80% last year, crossing the $10M ARR mark.
Against this backdrop, Connectd just raised £5.5M (approximately $7.4M) in new funding, bringing total investment in the company to $14M.
The natural revenue model for Connectd is a commission on payments flowing from startups to experts. Those payments run through the platform, letting Connectd take its cut.
Importantly, Connectd doesn't just recruit experts – it trains them. The platform covers every dimension of fractional work: legal, reputational, operational, and even personal (including how to avoid burnout).
This training has become a meaningful revenue line in its own right: an annual membership costs £2,400. Pay upfront for three years and it's £6,200 – which buys the expert training access, monthly expert roundtables, personal mentoring, and a set number of placements without paying a platform commission. The three-year plan, for instance, includes 3 commission-free placements and 540 minutes of 1:1 mentoring.
Interestingly, a few years ago startups joined Connectd primarily to find investors among the expert community. That's shifted. Growing startups now genuinely come to the platform to hire talent – just in fractional form. In fact, fractional became the preferred model: what they need is experienced people who can point them in the right direction. The actual execution? That's increasingly handled by AI.
Startups have also started to recognize that their competitive edge no longer comes purely from technical superiority. A 10% better product isn't much of a moat. The real differentiator is distribution – and distribution success depends heavily on human relationships with experts who carry weight in the target market. Connectd helps startups build those relationships.
This connects directly to a [recent review](/review/kak-privlech-vnimanie-k-svoemu-startapu) of the Founder's Box accelerator, which links startup founders with journalists to help them craft compelling stories for PR. As the accelerator's founder writes: "Most early-stage founders can't clearly articulate their value – especially when technical differences from competitors aren't obvious. Investors struggle too, unsure which startup deserves attention in an already crowded AI market. So they often fall back on clarity of narrative and media presence as key selection criteria."
Both Connectd and Founder's Box help startups build "unfair competitive advantages" – Connectd through distribution relationships, Founder's Box through narrative.
The expert side has shifted too. Previously, people joined Connectd as a safety net – a backup option in case they lost their day job. Now the primary motivation is career flexibility: the ability to explore new paths by working across different startups and industries simultaneously.
The numbers confirm the trend. In 2022, one startup sought an average of 1.7 fractional experts on the platform. By late 2024, that number had risen to 4.4 per startup.
In late 2021, a [related review](/review/kak-sovershit-pomenshe-oshibok) covered Bolster, which launched a similar fractional expert marketplace at the time – same target positions: executives, advisors, board members. Fractional wasn't widely adopted then, though. Bolster subsequently raised $8M in new funding last summer – but pivoted to a full-time executive search platform, keeping fractional as a secondary offering rather than the core.
Timing is everything in startups. And it's not just about not being late – arriving too early is equally fatal.
Good ideas often surface before the market is ready for them. That seems to be what happened with fractional expert platforms – several have launched in recent years, but uptake was initially slow.
Now, judging by the surge in startup demand for fractional expertise – and more importantly, by the shift in why both startups and experts want to participate – the timing has finally aligned.
Which means this is the right moment to get in. The blueprints already exist, the demand signal is clear, and the models to learn from – and improve on – are already out there.