Utilities1 month ago · 1 tries
Detect Online Scams. Protect Yourself | SamFindr
AI tool to detect online scams, phishing attempts, suspicious emails and malicious links.
@ZiyadL6 · X
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AI tool to detect online scams, phishing attempts, suspicious emails and malicious links.
@ZiyadL6 · X
VerusCite verifies citations in academic PDFs with AI extraction and database cross-checks. Flag hallucinations and metadata mismatches before you submit.
u/andy_p_w · Reddit
VerusCite — Verify Academic Citations Tool to evaluate whether citations in academic papers can be verified, have minor errors, or are likely AI generated hallucinations. submitted by /u/andy_p_w to r/SideProject [link] [comments]
Evaluate AI products against published agent criteria with inspectable evidence and community votes.
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.
Analyze news, video, and text for media bias and manipulation techniques.
jayubba1 · HN
Biasly.ai – Bias detection with historical context
Paste a customer conversation and get your positioning extracted into five components, every claim quoted word for word. Then generate a pitch that only uses real evidence.
@choppeduncCEO · X
Positioning and PMF finder for early stage founders. Offering free trial for feedback and validation
Two buyers get the same car from the same dealer and pay thousands apart. VINdicated puts real price context, deal checks, and side-by-side comparisons on the buyer's side, before
@BrianVINdicated · X
Grades student work and detects plagiarism using AI and outcome-based rubrics.
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.
Detect AI-generated content in text and documents with per-sentence analysis and exportable reports.
Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Verify an AI agent's decisions and test tampering with the verification records.
foh_quarters · HN
Verify what an AI agent did, then tamper with the record (no signup)