Pe

Peer Review Beta – A universal preprint+ platform

Hacker News

Peer Review Beta – A universal preprint+ platform

Hey HN, I've been working on Peer Review for the past year. It's still in early beta (pre-0.1) but I'm looking for some early adopters to start putting it through its paces and help highlight areas I should focus on. Peer Review is an idea I've had for years. You're probably well aware of the problems involved in academic, scientific, and scholarly publishing - HN certainly discusses them enough. Peer Review is my attempt to solve them (or a subset of them). Peer Review combines features of Github and StackExchange to allow scholarly review to be crowd sourced to a trusted pool of peers. It does this by tying reputation to a hierarchical field tagging system. Reputation gained in children is also gained in the parents. Authors tag their papers with any fields they feel are relevant. This means authors can tag their papers with fields higher up the hierarchy to cast a wider review net, or go lower down the hierarchy to cast a narrower one. It also enables cross-discipline review and collaboration very easily - authors simply tag their papers with the fields of both disciplines. The review interface combines aspects of Github PRs and Google docs. Review is split into two phases: pre-publish "review" focused on giving authors constructive critical feedback to help the improve their work and post-publish "refereeing" which looks more like traditional peer review and is the primary mechanism through which new authors gain reputation. The whole site is built around the idea that scholars are working to collectively build the body of human knowledge and make it the best they can. You can see the production site here: https://peer-review.io You're welcome to explore the staging site and treat it as a sandbox, if you'd like: https://staging.peer-review.io It's open source: https://github.com/danielbingham/peerreview I'm doing all the development in the open as much as possible. If it gains traction, the plan is to form a non-profit around it and explore whether a web platform can be governed democratically as a multi-stakeholder cooperative and if we can solve some of the issues around large centralized platforms through that governance approach.

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, profit · Missing: mrr, revenue, saas
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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