Software Alternatives, Accelerators & Startups

Ovaio.app VS Split Fee

Compare Ovaio.app VS Split Fee and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Ovaio.app logo Ovaio.app

Scan recipes and products in Chrome, then sync to your Ovaioโ„ข health journal โ€” mood check-ins, cycle coach, meal tracking, med reminders, and doctor-ready reports.

Split Fee logo Split Fee

Split Fee connects UK recruitment agencies to collaborate on permanent placements. Share candidates and vacancies, match automatically, and split the fee.
  • Ovaio.app
    Image date //
    2026-06-29
  • Ovaio.app
    Image date //
    2026-06-29
  • Ovaio.app
    Image date //
    2026-06-29

Ovaio โ€” PCOS, Endometriosis & PMDD Food Scanner

Know what's safe for your body before you cook, shop, or eat. Ovaio is a Chrome extension built for women managing PCOS, endometriosis, PMDD, and overlapping hormonal conditions. It scans ingredient lists on recipes and products while you browse, rates each ingredient for your condition, and optionally saves everything to your free health journal at ovaio.app.

Ovaio is not a medical device and does not provide medical advice. Always consult your doctor or dietitian about dietary changes.

  • Split Fee Login screen
    Login screen //
    2026-03-16
  • Split Fee Dashboard page
    Dashboard page //
    2026-03-16

Split Fee is a platform for UK recruitment agencies to collaborate on permanent placements.

Every agency has candidates they can't place and vacancies they can't fill. Another agency almost certainly has what you need โ€” but finding them, trusting them, and making the collaboration work has always been the hard part.

Split Fee solves this. Post your candidates and vacancies to the platform. Our matching algorithm finds opportunities across every agency on the network โ€” by skills, location, salary, and seniority. Candidate and client data stays anonymised until both sides agree to work together. When a placement is made, we handle the fee split and invoicing automatically.

No more posting in social media groups and hoping someone replies. No more sharing candidate details with strangers on trust alone. No more chasing invoices from agencies you barely know.

45% for you. 45% for them. 10% platform fee โ€” only when a placement is made.

Half of a placement fee is infinitely better than none of it.

Split Fee

$ Details
freemium ยฃ97.0 / Monthly
Release Date
2026 March
Startup details
Country
United Kingdom
Founder(s)
Abbie Taylor
Employees
1 - 9

Analysis of Ovaio.app

Overall verdict

  • I don't have verified, up-to-date information about Ovaio.app to give you a reliable assessment. This appears to be a lesser-known or possibly new service that isn't well-documented in my training data, so I can't confirm its legitimacy, quality, or safety.

Why this product is good

  • I have no reliable data on this specific product's features, performance, or user reviews
  • There's no verifiable track record I can reference to assess trustworthiness
  • I cannot confirm whether this is a legitimate service, a new startup, or potentially something else entirely

Recommended for

  • Before using this service, research recent user reviews on independent platforms
  • Check domain registration date and company information (e.g., via WHOIS lookup)
  • Look for reviews on Trustpilot, Reddit, or relevant industry forums
  • Verify security practices if the site requires personal or payment information
  • Consider reaching out to the company directly with questions before committing

Analysis of Split Fee

Overall verdict

  • Split Fee (split-fee.com) appears to be a niche referral/fee-splitting platform aimed at connecting professionalsโ€”likely in real estate, legal, or brokerage-type industriesโ€”to share commissions on referred deals. Without independent reviews or verified track record widely available, it should be approached with due diligence, but the concept itself addresses a real market need for structured referral partnerships.

Why this product is good

  • Provides a structured framework for professionals to formally split fees or commissions on referred business
  • Can help expand referral networks beyond one's immediate contacts or region
  • May reduce disputes over referral agreements by formalizing terms upfront
  • Potentially useful for professionals who receive occasional out-of-market or out-of-expertise leads they want to monetize

Recommended for

  • Real estate agents or brokers looking to refer out-of-area clients
  • Legal or financial professionals wanting to formalize referral fee arrangements
  • Freelancers or consultants who want to monetize leads outside their expertise
  • Small firms seeking to expand reach through partner referral networks

Category Popularity

0-100% (relative to Ovaio.app and Split Fee)
Productivity
100 100%
0% 0
Recruitment
0 0%
100% 100
Health
100 100%
0% 0
SaaS
0 0%
100% 100

Questions & Answers

As answered by people managing Ovaio.app and Split Fee.

Which are the primary technologies used for building your product?

Split Fee's answer:

A next-generation serverless platform, built for AWS.

What makes your product unique?

Split Fee's answer:

Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.

Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.

Why should a person choose your product over its competitors?

Split Fee's answer:

Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.

How would you describe the primary audience of your product?

Split Fee's answer:

UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.

What's the story behind your product?

Split Fee's answer:

Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.

User comments

Share your experience with using Ovaio.app and Split Fee. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Ovaio.app and Split Fee, you can also consider the following products

Best Before โ€“ Food Tracker - Best Before โ€“ Food Tracker app allows users to track the food in their fridge by entering the dates of purchase on all the expired food items.

Unbench - Beyond recruitment, Unbench became a dynamic matchmaking platform, efficiently connecting companies with top specialists.

PERIOD TOOLS - Know your cycle. Plan your life.

Chomp App - Chomp makes it easy for raw feeders worldwide to track their loved ones' food intake.

Clue - Period and ovulation tracker app for iPhone

Flo - Voice based video editing app powered by A.I & Deep Learning