
PaperBanana: Academic Illustration Generator for Methodology Diagrams
Transform academic papers and sketches into publication-ready methodology diagrams and research figures.
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21 projects

Transform academic papers and sketches into publication-ready methodology diagrams and research figures.

All-in-one platform for creating and publishing content across multiple platforms.
@wztlink1013 · X
自己写了一个工具,专为内容创作者多平台发布, 富文本编辑体验,同时支持多个平台的格式平替兼容。

Transcribe and summarize YouTube videos, podcasts, PDFs, and MP3/MP4 files with AI.
sipsip.ai — 支持30+平台视频AI转录并提取摘要,订阅RSS可以每天发送早报
Browse AI regulations across 50 US states with guides, FAQs, news, and compliance tools.
asm28208 · HN
AI Law Tracker – one audited API for US, EU and global AI law

Web scraping API that turns websites into clean, structured data for AI agents.
mohitprateek · HN
Anakin – API for your AI agents to access the most difficult websites

AI assistant for legal, finance, research, and coding that cites sources for every claim.
@Laharmckenzie · X

Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

Autonomous AI research engine that generates full academic papers with real citations from a prompt.
@fedeponte1 · X
my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]