Scribble Network's answer

Some of our biggest customers include RocketX, BOB, Base, Fuel, Mantle

Scribble Network's answer

Scribble is not just an analytics tool. It’s an AI visibility + execution platform.

Most GEO tools can tell you whether you’re visible. Scribble tells you why you’re not and also helps fix it.

We:

• measure AEO/GEO visibility across AI tools

• identify content gaps that impact citability

• activate creator-led campaigns to fill those gaps

Tempreon's answer:

Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use — Claude, ChatGPT, Cursor, anything MCP-capable.

• It learns, it doesn't just store. How you work, what you decide, how you like things done — refined over time, not filed away.
• One memory, every assistant. Captured once in one tool, available in all of them. No re-explaining yourself.
• Custody is structural, not marketing. Your data exports anytime, the formats are portable, and our export tooling (memhaul) is open source. We monetize the service, never the custody.

Scribble Network's answer

Scribble is built for people who are both navigating the same shift from traditional search to AI-generated answers.

• For brands and teams:Tech companies who want to show up in AI answers, not just Google results.

• Marketing and growth teams getting ahead of AI search before competitors do

• Founders who want to know exactly how and whether their brand is being cited by AI

Tempreon's answer:

Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.

If you've ever pasted the same context into Claude and ChatGPT in the same week — you're the audience.

Scribble Network's answer

ScribbleAI is built on a modern and scalable tech stack designed for performance, reliability, and seamless web3 integrations.

• Frontend: Next.js, React, and Tailwind CSS for a fast, responsive, and polished user experience.

• Backend: NestJS and TypeScript powering a scalable and maintainable backend architecture.

• Database & Infrastructure: Supabase (Postgres) for database management and backend infrastructure, with Redis for caching and performance optimization.

• Web3 Infrastructure: Integrated multichain wallet support powered by Alchemy and Web3Auth, enabling seamless blockchain interactions and secure wallet recovery.

• Authentication & External Services: Google and Twitter social logins, along with Resend for transactional email delivery.

• Payments: Stripe for secure global payment processing and subscription management.

• Analytics & Product Insights: PostHog for product analytics and user behavior tracking.

Tempreon's answer:

• Model Context Protocol (MCP) over streamable HTTP — the core of it. This is what makes Tempreon work in any compliant client rather than one walled garden.
• OAuth 2.1 with dynamic client registration and PKCE for authorization.
• TypeScript and Postgres under the hood.

The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.

Tempreon's answer:

Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you — your context, your preferences, your judgment — gets rebuilt from scratch inside every tool, and lost every time you move.

We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon — like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.

The through-line is custody: the model is temporary, your memory shouldn't be.

Tempreon's answer:

Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem — your problem is re-explaining yourself to each of them and losing everything when you switch.

• Tempreon solves that one: one memory, every assistant, no re-onboarding.
• The model landscape changes every few months — a memory layer that belongs to you is the thing that shouldn't.
• No lock-in by design: plain-text exports, open-source export tooling, portable formats.

The choice is really about who the memory is for. Ours is for you.