Hey everyone, I just joined DesignFounders 👋

I’ve been working on Veezee a platform that gives AI agents live, structured access to LinkedIn, Reddit, and X.

These platforms contain some of the most valuable information for research, but they’re often difficult for AI agents to access and use effectively. Veezee helps bridge that gap with 17 tools available through MCP, REST, CLI, or SDK.

With Veezee, AI agents can:

• Search LinkedIn people and enrich profiles or companies

• Find Reddit discussions, subreddit feeds, and comment threads

• Search X profiles, tweets, keywords, and conversation activity

It’s built for developers and teams working on market research, lead enrichment, recruiting workflows, brand monitoring, and community insights.

You can connect your agent directly here:

https://veezee.io/agent-setup/prompt.md

No account or card required to get started — there are free daily credits available to explore the platform.

Would love to connect with other founders and builders working on AI agents, data infrastructure, and automation. 🚀

MLForge – The Operating System for AI Development

We're building mlforge, a unified AI development platform that simplifies the entire machine learning lifecycle—from dataset discovery to production deployment.

Instead of juggling multiple tools for datasets, annotation, training, benchmarking, and deployment, MLForge brings everything into a single local-first workspace.

What MLForge offers:

* 🚀 Dataset Zoo

* 🤖 Model Zoo

* 🏷️ AI-powered Annotation Studio

* 🧠 Computer Vision & LLM Fine-Tuning (coming soon)

* 📊 Benchmark & Performance Analysis

* ⚡ Local Inference Studio

* 🌐 One-click Model Deployment

* 🛠️ Python SDK & CLI

* 💻 Windows, Linux & macOS support

Our mission is to make AI development faster, simpler, and accessible by providing one platform to discover, build, train, deploy, and manage AI models.

We're currently looking for feedback from AI engineers, startups, researchers, and founders. We'd love to hear your thoughts and connect with the community.

We’re excited to introduce AiRecall, an AI-powered learning tool designed to help people learn more effectively from the educational content they consume every day.

The internet has made learning easier than ever. There are thousands of tutorials, courses, lectures, and educational videos available instantly. But there is one common problem: we often forget most of what we learn shortly after watching. Taking detailed notes manually takes time, while traditional summaries usually don’t help with actually retaining knowledge.

That’s why we built AiRecall.

AiRecall transforms educational videos into structured learning materials that are easier to understand, review, and remember. Instead of simply shortening content, AiRecall focuses on helping users turn information into lasting knowledge.

What can you do with AiRecall?

• 📚 Turn videos into structured notes
• AiRecall analyzes educational content and creates organized notes highlighting the most important concepts, ideas, and takeaways.
• 🧠 Improve knowledge retention
• The platform is designed around effective learning methods such as active recall, helping users move from passive watching to active understanding.
• ⚡ Save time while learning
• No more constantly pausing videos or spending hours writing notes. AiRecall helps capture the valuable information automatically so you can focus on learning.
• 🔗 Sync your knowledge with Notion
• Keep your learning materials organized by sending your AI-generated notes directly into your Notion workspace.
• 📖 Build your personal knowledge library
• Every video you process becomes part of your own organized collection of insights that you can revisit anytime.

Who is AiRecall for?

AiRecall is built for anyone who learns through online content:

1. Students preparing for exams
2. Developers learning new technologies
3. Professionals improving their skills
4. Researchers collecting information
5. Entrepreneurs exploring new topics
6. Lifelong learners building their knowledge base

Every SaaS founder learns about Domain Rating eventually. What fewer learn is how to grow it without wasting months on low-value submissions, irrelevant directories, and link-building tactics that look productive but don't move the needle.

The core mistake is treating DR as an isolated KPI. It isn't. Domain Rating is a directional authority signal — useful when reviewed alongside referring-domain relevance trends, commercial keyword movement, and qualified traffic data. Chasing DR alone, disconnected from these signals, leads to inflated activity with no business impact.

The framework that actually works has three pillars. First, source-quality scoring: evaluate every candidate source before publishing across dimensions like relevance fit, editorial trust, placement quality, and tracking clarity. Second, execution cadence: run submissions in controlled waves, review weekly, and re-prioritize monthly based on what's performing. Third, a measurement stack that tracks more than just DR — qualified traffic trends, commercial page performance, and source-quality mix by tier.

For early-stage SaaS in particular, the 30-60-90 day model is a practical starting point. Month one is about establishing baselines and running a first controlled wave. Month two is about pruning weak channels and doubling down on high-fit directories. Month three is about expanding only where quality holds and documenting a repeatable system.

This practical domain rating framework for SaaS outlines the full methodology — including a source-scoring table, implementation checklist, and guidance on when to use manual processes versus automated workflows.

DR growth isn't about doing more. It's about doing the right things consistently.

#SaaSFounder #DomainRating #SEO #StartupGrowth #LinkBuilding #SaaSMarketing #FounderTips #DigitalMarketing #BacklinkStrategy #GrowthHacking

Hey founders! 👋 Let's talk about something most SaaS teams get completely backwards — Domain Rating.

DR is NOT a success metric. It's a decision tool. 🎯 Yet so many teams obsess over hitting a specific number instead of using it to make smarter link-building choices.

Here's what DR can actually do for you ✅: 🔹 Compare your backlink profile strength against competitors 🔹 Spot whether your authority is growing in the right direction 🔹 Audit if your link acquisition quality is improving over time

And here's what it absolutely CANNOT do ❌: 🔸 Guarantee your pages will rank by a specific date 🔸 Promise traffic growth on a fixed timeline 🔸 Tell you if your link sources are relevant to your ICP

So what's the smart workflow? 📋

The best SaaS teams use a multi-signal scorecard — DR trend reviewed monthly, referring-domain relevance checked weekly, and commercial keyword movement tracked alongside qualified traffic. That combo connects authority signals to actual business outcomes. 💰

For early-stage SaaS, focus on building a consistent baseline trend and keeping sources relevant. Growth-stage teams should work on improving the quality mix. Mature products need to protect against profile drift.

One thing that trips up a LOT of teams is execution. They know what to measure but fall apart on consistent submissions and tracking. That's where a structured workflow like the one described in this practical DR checker guide for SaaS teams comes in — it breaks down exactly how to standardize submissions, classify sources by quality, and keep your reporting clean. 📊

Bottom line for founders: treat DR as one signal in a bigger system, never as the finish line. 🏁

#SaaS #FounderTips #SEO #DomainRating #LinkBuilding #StartupGrowth #SaaSMarketing #GrowthHacking #Backlinks #SEOStrategy

Most Salesforce-focused teams blame their CRM pipeline problems on bad traffic or weak targeting. But the real leak? It happens after the click. 💸

Here's the hard truth: CRM conversion pages that try to do too many things — trial signups, enterprise consultations, webinar registrations, partner inquiries — end up doing none of them well. 🎯 One page, one objective. That's the rule.

The best-performing pages in 2026 follow a simple first-screen formula: 👤 Who it's for → ⚙️ What problem it solves → ✅ Why you should believe it → 📋 What to do next

Keep proof close to the claim it validates. A vague logo wall doesn't close deals — contextual results tied to real operational conditions do. 💪

And don't overlook mobile. A huge slice of B2B evaluation starts on a phone, even when the final conversion happens on desktop. If your mobile flow is clunky, qualified buyers leave quietly and never come back. 📱

For teams running Salesforce-centric workflows, this practical 2026 framework breaks down the full conversion architecture — from form strategy to 30-60-90 day execution planning.

Speed matters. But only when each revision follows a clear decision model. ⚡

#CRM #Salesforce #LeadGeneration #SaaS #StartupGrowth #RevOps #ConversionOptimization #PipelineGrowth #B2BMarketing #FounderTips

Hi everyone,

I'm the founder of https://freispace.com/ and wanted to share what we've been building.

Most post-production studios still run their operations across spreadsheets, calendars, disconnected scheduling tools, accounting software, and endless Slack messages. We built freispace to solve that problem.

freispace is an AI-native operating system for post-production companies.

At its core, it combines:

• Resource scheduling (staff, freelancers, edit suites, licenses, equipment)

• Project planning with dependencies and milestones

• Task management

• Time tracking

• Budgeting and cost control

• Invoicing

• Reporting and utilization analytics

• Workflow automation APIs

What makes it different from traditional scheduling software is that it was designed with AI integration in mind from day one.

Every piece of operational data can be accessed through APIs and AI workflows while respecting existing user permissions. We're also building around MCP and agent-based workflows so studios can connect AI systems directly to their operational data instead of creating yet another isolated AI tool.

The goal isn't to add AI on top of legacy software.

The goal is to make scheduling, planning, reporting, and operational knowledge natively available to both humans and AI systems.

We're already working with production and post-production teams that manage complex workflows involving people, facilities, budgets, deadlines, and client deliveries.

Happy to answer technical questions.

Choosing a local listing management service isn't just about finding the cheapest option or the one that promises the most directories. 📋 A lot of business owners get burned because they focus on the wrong things during selection.

Here's the real truth 👇

Most providers look identical on paper. Same landing page promises, same "100 directories" claims, same smiling stock photos. But the difference shows up after you sign — when something goes wrong and nobody picks up the phone. 📵

What actually separates good services from bad ones:

✅ Clear QA process — Do they check listings before publishing? Who owns corrections? ✅ SLA transparency — What happens when a listing goes wrong? How fast is it fixed? ✅ Actionable reporting — Not just activity logs, but actual next steps with owners and dates.

One thing I always recommend before signing anything: ask for a sample report and a documented correction workflow. If they can't show you either, walk away. 🚶

The smartest move is to run a short pilot first. A 4–6 week controlled test tells you more about a provider than any sales call ever will.

I recently came across a solid breakdown of how to think through the software vs. service decision for local listing management — worth a read if you're currently evaluating options.

Don't let a low upfront price become a high long-term headache. 💡

#LocalSEO #SmallBusiness #BusinessListings #DirectoryMarketing #FounderTips #LocalMarketing #StartupGrowth #SEOStrategy #DigitalMarketing #BusinessGrowth