Causalith

Six months ago I was doing a literature review and found two papers making completely opposite claims about the same phenomenon. Both were highly cited. Both seemed rigorous. I spent 4 hours figuring out why they disagreed. I'm building the tool I wished existed. Waitlist open!

This week in @Causalith : Upload papers → extract claims → preserve source evidence → inspect every decision. Each candidate sentence now gets a status: extracted, background, method detail, not-a-claim, or retry. Less black box. More audit trail. #buildinpublic #indiehackers

@DevenPatil_007 Hello, we're building a tool to help researchers with messy literature papers : Causalith.com

Founders/builders! 👋 Drop your product/SaaS below, let's connect and grow together!🤝

VEB score went from 53% to 71% this week The bug: we were using TF-IDF similarity to match scientific claims. 'Previous best results' and 'existing best results' scored 0.25 similarity. Switched to semantic embeddings. Score jumped 8x. Building @causalith — waitlist in bio.

@maverickecom how is this actually free? LIVE

Claude = 550 videos/day Fully realistic UGC ads — cinematic lighting, natural human motion, clean pacing — powered by AI agents. Best way to implement ai Ugc into your ecom brand right now. We’re currently doing this for ecom brands to scale sales on Amazon and tiktok shop by using our automated workflow: Generates viral video style ads all day long onto creator style tiktok shop and instagram pages. Using our sales method to drive traffic to the product page - UGC cost: $0 - Production time: minutes - Scale: instant One AI engine that creates, tests, and scales short-form ads automatically — nonstop. Comment + RT ''LIVE'' and I’ll DM you the full workflow. (Must be following)

@itsalexvacca ads

We built 12 Claude Code skills that run our entire paid media ops across Google, Meta, and LinkedIn at ColdIQ (and we're giving the whole pack away). Our head of growth Ivan Falco runs $200K/month in ad spend from a terminal. It's how we doubled client load this year without losing quality. The skills do the work that used to fill our media buyers' calendars: spot creative fatigue, adjust bids, upload audiences, run bulk edits, flag broken campaigns, build reports. Each skill does a specific job: Google Ads: → keyword-analyzer: audits quality scores and finds keyword gaps → negative-keywords: reviews search terms and blocks wasted spend → performance-auditor: compares periods and flags what changed → search-terms: surfaces queries burning budget with zero conversions Meta Ads: → audience-builder: turns CRM lists into custom audiences → creative-fatigue-analyzer: spots declining CTR before the metrics flag it → fatigue-monitor: flags when your audience is saturated → spend-tracker: tracks budget pacing across every campaign LinkedIn Ads: → audience-builder: builds targeting audiences at scale → bid-optimizer: adjusts bids across campaigns in bulk → bulk-editor: mass edits campaigns, ads, and naming in seconds → creative-builder: generates ad creatives from brand specs You drop them into Claude Code, connect your ad accounts, and tell it what you need. It reads the skill, plugs into the platform, executes. 300+ hours of work went into building these. Comment ADS and we'll send all 12 over.

@Faheem_uh we help with literature review! will be out soon at : causalith.com

PhD Research Proposal Flowchart A PhD research proposal should have 6 sections. 1. Introduction 2. Literature review 3. Methodology 4. Preliminary data 5. Statement of limitations 6. Conclusion Do you want to learn about systematic literature reviews? Register for my FREE webinar. Topic: How to conduct a systematic literature review Date: Thursday, 7 May 2026 Registration Link: luma.com/gp5y44dv