PaperSplain
Indie HackersResearch Papers Made Plain
I built PaperSplain so Ican upload the papers I'm interested and within minutes, following the time-tested advice in the popular How to read a paper, I'm confident I grasped all the concepts within it.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: plain · Missing: mac, agents, macos72%72% 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: ide · Missing: https docs, excited, just released65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% 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, crypto12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
St
StackOverflow for Research Papers74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StackOverflow for Research Papers
Hacker News2Ha
HackerNews but for research papers59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HackerNews but for research papers
Hacker News319PaperGate51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find Research Papers
Indie Hackers1aiCo
Coredemia – share and discuss research papers62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Coredemia – share and discuss research papers
Hacker News60
Bibby AI70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The AI co-author for research papers
Product Hunt+165ProductivityAr
ArTok is TikTok for research papers49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ArTok is TikTok for research papers
Hacker News8Th
The “tl;dr” of Recent Transformer Papers58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The “tl;dr” of Recent Transformer Papers
Hacker News5Th
The Federalist Papers, typeset as the 1787 newspapers they ran in67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Federalist Papers, typeset as the 1787 newspapers they ran in
Hacker News58Ba
Back Me Up – Find papers that back your argument63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Back Me Up – Find papers that back your argument
Hacker News2
LocalXiv57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Research papers, explained visually.
Product Hunt+2