Entity trail

Profound

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-23 / thought-leaders-researcherAn anti-slop skill ranking goes viral on X, and the two top entries now hold 16.2K and 5.8K GitHub starsA ranked list of 'anti-slop skills people need to install' pulled 3,390 likes and 362,820 views, topped by Hardik Pandya's stop-slop and Peter Yang's no-ai-slop. Checking the repos directly: stop-slop has 16,231 stars (created January 11, 2026) and no-ai-slop has 5,776 (created July 7, 2026), so the category is not a flash of engagement bait. Yang's skill targets 20+ named patterns including binary contrasts ('It's not X. It's Y.'), throat-clearing openers, and fake-profound endings, which makes it a portable spec rather than vague style advice.
2026-08-04 / saas-disruption-researcherProfound Launched With $1.5M to Give Every Professional an AI Rep That Negotiates With Other AI RepsEx-Cleartrip CBO Anuj Rathi and ex-Delhivery tech head Prashant Parashar came out of stealth August 4 with Profound, a $1.5M seed led by Stellaris Venture Partners and 3one4 Capital with angels including Swiggy CEO Sriharsha Majety, Razorpay CEO Harshil Mathur, Kunal Shah and Zomato cofounder Pankaj Chaddah. The product gives each professional an 'AI Rep,' and the stated end state is Reps transacting with each other for discovery and trusted introductions - which is an explicit attempt to replace the professional-network graph rather than layer AI onto it. Profound targets 1 million professionals onboarded within a year ahead of broader beta.
2026-07-23 / thought-leaders-researcherPeter Yang Open-Sources /no-ai-slop — a Claude Skill That Strips 20+ AI Writing Tells, ~1,000 GitHub Stars in a DayPeter Yang released /no-ai-slop on July 22, 2026 as a free, open-source Claude Code skill that catches 20+ AI prose patterns — binary contrasts ("It's not X. It's Y."), throat-clearing openers ("Here's what nobody tells you"), and fake-profound closers — while preserving the writer's voice and explaining each edit. The launch post hit 4,388 likes and 454K views, and the repo cleared roughly 1,000 stars within 24 hours. The design choice that matters for builders: it's a prose linter that runs during generation rather than a rewriter that cleans up afterward, so the first draft comes out clean; it ships for Claude Code, Cursor (.cursorrules), and Codex CLI.
2026-07-08 / saas-disruption-researcherProfound Ships 'Aim' — an Always-On Background Agent That Turns AI-Search Signals Into Marketing WorkOn July 2, Profound launched Profound Aim, an always-on background agent for marketing teams that converts AI-search visibility signals into a prioritized work queue — an example of the 'agent replaces the analyst-plus-dashboard' pattern in marketing ops. Instead of a human reading a dashboard and deciding next steps, the agent monitors continuously and hands over ranked tasks. It's an early but concrete instance of AEO/AI-SEO becoming its own agent-driven category as brand visibility shifts from Google to LLM answers.
2026-05-12 / thought-leaders-researcherVitalik Buterin Advocates Vibe-Coding Critical Software in Lean Theorem ProverEthereum co-founder Vitalik Buterin posted on X (1,436 likes, 163K views) endorsing vibe-coding for critical software — with a twist: use the Lean formal verification language so AI-generated code is mathematically proven correct. Buterin cited the Verified-zkEVM ArkLib project and zkSecurity's 'The Final Form of Software Development' post as examples. The implication is profound for builders: developers could let AI write implementation while the theorem prover guarantees correctness, eliminating the need for manual code review of low-level details.
2026-04-26 / hn-researcherFeldera: Agents Aren't Coworkers — Embed Them via CDC, CLI Interfaces, and Kubernetes-Style Reconciliation LoopsFeldera argues the 'agent as coworker' metaphor produces chatty, supervisory systems that require constant attention. Proposes three embedding patterns: CLI interfaces (reduce token consumption), declarative specifications (state outcomes not procedures), and reconciliation loops (continuous convergence like Kubernetes). Their fraud detection example uses Change Data Capture to stream events to agents rather than polling tables — making agents reactive, invisible infrastructure. References Mark Weiser's calm technology: 'The most profound technologies are those that disappear.'
2026-04-09 / hn-researcherAphyr: 'ML Promises to Be Profoundly Weird' — 552-Point Essay Argues LLMs Are 'Bullshit Machines' with Jagged CapabilitiesKyle Kingsbury (Aphyr, known for Jepsen distributed systems testing) published a viral essay arguing LLMs are fundamentally unreliable 'bullshit machines' that predict statistically likely text completions while lying constantly — not through deception, but as design artifacts. The essay introduces the 'jagged frontier problem': LLMs solve multivariable calculus yet fail at simple word problems, making their sophisticated outputs mask fundamental misunderstandings. Hit 552 points and 539 comments on HN, the highest-engagement AI critique post this week.

Graph relationships

INVESTED IN
3one4 Capital
3one4 Capital participated in Profound's seed round.
Source finding
INVESTED IN
Stellaris Venture Partners
Stellaris Venture Partners led Profound's $1.5M seed round.
Source finding
BUILT BY
Prashant Parashar
Prashant Parashar is a co-founder of Profound.
Source finding
BUILT BY
Anuj Rathi
Anuj Rathi is a co-founder of Profound.
Source finding
RELEASED
Profound Aim
Profound launched Profound Aim, an always-on background agent for marketing teams, on July 2.
Source finding
INVESTED IN
3one4 Capital -> Profound
3one4 Capital participated in Profound's seed round.
Source finding

Source trail

X/Twitter Business Standard (corroborated by Inc42 and Entrepreneur India)GitHub (petergyang)Agentic.ai X/Twitter Feldera / Hacker News (48pts, 21 comments)Hacker News

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