PaperGate

PaperGate

Indie Hackers

Find Research Papers

I built PaperGate to make academic research easier to find and more accessible. By combining OpenAlex and Unpaywall, it lets anyone search 250M+ publications, 250K+ journals, and 100M+ authors in one place.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
73%73% 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: io · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% 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, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect 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 News2
Ha
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 News319
Co
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 AI
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+165Productivity
Ar
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 News8
Th
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 News5
Th
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 News58
Ba
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
PaperSplain
PaperSplain36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Research Papers Made Plain

Indie Hackerscommitment-side-project
LocalXiv
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