
PaperTrace - AI Literature Review
Conduct systematic literature reviews with AI-assisted search, screening, extraction, and synthesis.
@arnesh_11 · X
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Conduct systematic literature reviews with AI-assisted search, screening, extraction, and synthesis.
@arnesh_11 · X

Guide to choosing literature review methods based on research intent, discipline, and evidence.
@xxonnn · X
I built with ChatGPT Work! 🎉A beginner-friendly guide for undergrad and early grad students on the full research workflow Designed especially for Thai students (with English version available)Check it out here: #ResearchTips #LitReview #HigherEd

Get instant buy/skip/caution verdicts by analyzing Amazon reviews, Reddit threads, and YouTube videos.
@aminnnn_09 · X

Editorial workflow platform for teams to plan, write, review, approve, and publish content.
@duke_can_c_u · X
Hi I’m the founder of a content collaboration platform for teams and creators, with focus on editorial workflows. Always looking to connect with people passionate about content, SaaS, and building great products.

Compare candidates on evidence-cited dimensions and generate hiring documents.
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim

Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X

Collect Google reviews via QR codes and reply to them with AI assistance.
@SamiirHalady · X
Building ReviewMitra: Living Customer‑Centricity If you listen closely enough, your customers will write your product roadmap for you. When I built the goal was simple : help businesses get Google reviews without typing them out. That idea became reality. My first vibe‑coded app took time, but it worked. Then a friend asked, “Can we respond to reviews too?” That one question sparked the next feature : replying directly from the merchant login. Soon, I added sentiment analysis, a word cloud, and WhatsApp integration. Then came support for multi‑outlet brands, and now, a white‑label option for agencies. And here’s the part I’m most proud of - ReviewMitra now generates reviews in 39 languages, including 22 Indian languages and several European and Asian ones. Because trust shouldn’t be limited by language! Every new feature wasn’t planned, it was inspired. By feedback, by curiosity, by conversations. For years, I’ve told clients that the best approach is customer‑

Collect feedback from multiple platforms in one dashboard with AI analysis.
@GeorgiG26929167 · X
Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster

Get AI-ranked mutual fund research with quality scores and portfolio health checks for India.
@nava_who_codes · X
I spent 46$ to built Fund Explorer app 20$ - Claude Code 12$ - Claude API keys 11$ - Domain 3$ - To test the actual payment gateway after prod deployment

Analyze Reddit, HN, and App Store feedback to validate your startup idea.
@daicandev · X
Building proven, the tool that gets your product from idea to growing income

Turn documents into a searchable wiki with AI-verified, fact-checked answers.
u/Calm-Tomatillo-7770 · Reddit
Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.

Generate academic research papers and verify claims with AI-powered verification engines.
u/korro_ai · Reddit
I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines Most AI writing tools just generate text and call it done. Korroresearch does the opposite. Generation is step one. Verification is the real product. How it works: Describe your idea. It writes the full academic paper : research paper, grant proposal, white paper, pitch deck, conference talk, magazine article. English or French. Then the real part starts. 8 engine