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Animesh Nighojkarleft a comment
This looks way too easy. My trust issues are tingling. Most AI scrapers work great on a static blog but choke the second they hit a site with Cloudflare or complex anti-bot fingerprinting. Does Chat4Data handle the 'human' behavior (mouse movements, delays) to avoid getting IP banned? I'm rooting for you @lina_scott1 because building datasets manually is the worst.
Chat4DataThe Web Scraping Agent That Thinks for Itself
Animesh Nighojkarleft a comment
How are you handling the context window for 2+ hour podcasts? Do you chunk the transcript and summarize loosely, or are you using a model with a massive context window (like Gemini 1.5/Claude) to keep the thread of the argument intact? We struggle with this long-context retention problem at SquarePact (analyzing 100+ page contracts), so I’m curious how others prevent the AI from forgetting the...
TubeGuideConvert YouTube to step-by-step notes
Animesh Nighojkarleft a comment
I’m curious about the AI optimization logic here. Does the model prioritize strictly by highest APR, or does it factor in cash flow/psychological wins? We deal with similar optimizing for human behavior challenges at SquarePact, so I’m interested in whether the AI optimizes for math or for habits. Congrats on the launch @abhinav_jain_!
BON CreditReduce your debt with AI
Animesh Nighojkarleft a comment
My microservices architecture looks less like a map and more like a crime scene right now. If Kerno can actually untangle the relationships between my legacy code and the AI agents trying to fix it, that's witchcraft. Technical Q: How much overhead does the agent/telemetry add? I’m paranoid about observability tools slowing down the very thing they are supposed to be watching. (We have to be...
KernoTesting Co-Pilot for Backend Engineers
Animesh Nighojkarleft a comment
How are you handling the dreaded X-Frame-Options / CSP headers? I know a ton of major sites (GitHub, Notion, etc.) explicitly block being loaded in iframes or side panels. Did you find a workaround to proxy them, or is it a 'works where it works' situation?
SidePanel BuddyOpen any website in chrome side panel
Animesh Nighojkarleft a comment
Okay, I was ready to roll my eyes at another "AI builds everything for you" promise but the schema generation here is actually slick. I’m curious though, when the agent 'ships' for you, how opinionated is the code structure? Does it stick to standard Next.js patterns, or am I going to find some spaghetti logic in the API routes later? I fight this battle daily with SquarePact, so I know how...
Cosmic AI AgentsAutonomous AI that builds, writes, and ships for you.
Animesh Nighojkarleft a comment
Congrats on the launch @greedy_reader! The focus on 'AI-ready' components caught my eye. Do you have specific pre-built components for streaming text or thinking states? I’m building an AI compliance tool (SquarePact), and I’ve found that standard UI kits often lack good patterns for showing live AI generation without it looking jerky. Would love to know if you're planning more agentic UI...
thefrontkitDesign + Code UI kits for AI & SaaS
Animesh Nighojkarleft a comment
Congrats on the launch! The 'Chat with PDFs' feature is crucial for a second brain app. I’m curious, how are you handling the context retrieval for larger documents? Do you have a way to prevent the AI from hallucinating details not found in the source text? I’m tackling this exact challenge right now with my own tool (SquarePact) for legal contract review, so I'm always interested in how other...
KortexOrganize, import + export NotebookLM sources with a click
Animesh Nighojkarleft a comment
4500+ tokens/sec is fast! I've been looking for something that handles the 'merge' step better than the standard cursor-style diffs. Question for you: Does Morph maintain a context of the full project structure when applying these edits, or is it strictly file-level? I’m tackling some similar context-window challenges with my own tool (SquarePact) for legal docs, so I'm always interested in how...
WarpGrepRemove context rot + improve code search
Animesh Nighojkarleft a comment
Hi PH! 👋 Co-maker here. I want to highlight some critical technical challenge we solved: Privacy and Accuracy. We talk to so many founders who are desperate for help with legal redlines, so they copy-paste sensitive NDAs or Service Agreements into generic LLMs like ChatGPT. That is a massive security risk that can actually get you disqualified from the enterprise deals you’re trying to win. We...
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SquarePact Contract DefensePrepare for your first big enterprise/government sales win.
Animesh Nighojkarleft a comment
Looks super polished and useful — love seeing tools that make slides less painful and more productive.
FlashDocs APICustom Google Slides & PowerPoints via AI-powered API
Animesh Nighojkarleft a comment
Really appreciate the focus on transparency and trust in AI responses. Curious how the explainability layer works under the hood!
NativeMindYour fully private, open-source, on-device AI assistant
Animesh Nighojkarleft a comment
Appreciate the focus on speed and simplicity — CRM UX is often an afterthought. This looks well-considered.
TwentyThe #1 open-source CRM
Animesh Nighojkarleft a comment
👋 Hey everyone — I’m one of the makers of FairPact AI! We built FairPact because contract review today is still slow, expensive, and often one-sided. As founders, we kept running into legal docs we didn’t fully understand — and we realized there had to be a better way. FairPact reviews contracts using AI to flag risks, bias, and unfair terms in plain English — so you can actually understand...
FairPact AI Scan contracts & find gotchas before signing
Contracts are full of terms that could cost you money, trap you in bad deals, or create unexpected obligations. FairPact AI shows you exactly what scenarios could go wrong and gives you the right questions to ask before you sign, reducing signing anxiety.
FairPact AI Scan contracts & find gotchas before signing
Using LLMs to summarize or answer questions from documents? We auto-analyze your PDFs and prompts, and produce test inputs likely to trigger hallucinations. Built for AI developers to validate outputs, test prompts, and squash hallucinations early.
Hallucina-GenSpot where your LLM might make mistakes on documents