Open Science Framework
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Split Fee
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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.
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Split Fee's answer:
A next-generation serverless platform, built for AWS.
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.
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.
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.
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.
Based on our record, Open Science Framework seems to be more popular. It has been mentiond 38 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Last night I happened to listen to an episode[1] on EconTalk where the author of the post (Adam Mastroianni, a psychologist) was a guest. Definitely worth a listen. Adam also supports "open science framework" (https://osf.io/) and publishes his research and related artifacts there, which I really appreciate! [1] https://www.econtalk.org/a-users-guide-to-our-emotional-thermostat-with-adam-mastroianni/. - Source: Hacker News / over 2 years ago
Here are a few options to consider. First, Google Scholar. If you're logged into Google it will make a handful of recommendations on its front page. I've not really paid attention to how good the recommendations are. It says they're based on your Google Scholar record and alerts, so I guess you'll need both/one of those for it to work. https://scholar.google.com Second, Scopus from Elsevier (a company that plenty... - Source: Hacker News / almost 3 years ago
It's customary to use OSF (https://osf.io/) on papers this "groundbreaking," as it encourages scientists to validate and replicate the work. It's also weird that at this stage there are not validation checks in place, exactly like those the author performed. There was so much talk of needing this post-"replication crisis.". - Source: Hacker News / about 3 years ago
2.Open Science Framework - A non-profit (but not open source) "GitHub for scientific research" [4]. OSF is an incredible team and and product, that helps scientists openly publish their papers, datasets, code, and other research outputs. Their website is also geared towards a technical audience too - they help scientists store information, but they don't have a feature that helps users discover discuss new... Source: about 3 years ago
Our headline result is that a 10 percent increase in taxes is associated with a decrease in annual gross domestic product (GDP) growth of approximately รขหโ0.2 percent when bundled as part of a TaxNegative tax-spending-deficit combination. The same tax increase is associated with an increase in annual GDP growth of approximately 0.2 percent when part of a TaxPositive fiscal policy package. All of our data, output,... Source: about 3 years ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Unbench - Beyond recruitment, Unbench became a dynamic matchmaking platform, efficiently connecting companies with top specialists.
figshare - Securely store and manage your research outputs in the cloud, or make them openly available and citable.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Substack - With Substack, anyone can start a publication that combines a personal website, blog, and email newsletter or podcast. It's quick and simple.
Creative Commons - The Creative Commons is a collection of licenses that allow content creators to adjust the restrictions that they place on their work.