Users got 'Error: Load failed' when using the free tier (e.g. Podcast Host pre-fill) — the worker API wasn't reachable due to CORS or network issues.
✓ Shipped
✓ Shipped 2026-03-11 — Fixed CORS on the worker to allow thestackmap.com, www, and typride.github.io. Improved error message to suggest checking connection or adding an API key. Redeployed worker.
“Using the AI Stack Builder, getting Error: Load failed when I selected the Podcast Host pre-fill option”
Users want to find tools by the problem they solve (saves time, automates X) rather than by feature lists.
Received
“Damn that's helpful, but things will move so quickly half those links will break in a few months. Try to categorize them by problem instead of features. Nobody cares about features, they wanna know how it saves them time.”
Positive feedback on the workflow-first approach and the vision for AI Stack Maps generated from real implementations.
Received
“Really interesting tool. Visualizing the AI ecosystem like this is genuinely helpful. One of the biggest problems right now isn't the lack of AI tools — it's the lack of clarity around how they actually fit together into real stacks and workflows. Maps like this help people move from 'tool discovery' to system thinking, which is where the real value starts. Resources like this can also play an important role in education, especially for founders and teams trying to understand how LLMs, agents, automation platforms, and data layers connect in practice. The direction I find most exciting is where this could go next: AI Stack Maps generated automatically. Imagine systems that can analyze real implementations across GitHub, APIs, and production environments to surface actual AI architectures companies are using, not just curated tool lists. That kind of visibility would accelerate learning across the entire ecosystem. Great work building something that helps make sense of the rapidly growing AI landscape.”
The pain points in production are at the handoffs between tools — which connections are brittle, which lose context, and where schema mismatches cause silent failures.
Received
“The pain points in production are usually at the handoffs between tools, not within any single tool. Which connections are brittle? Which tool-to-tool jumps lose context silently? That's the layer most maps skip.”
“The schema mismatches are brutal - tool A outputs structured data but tool B expects different field names, so you're always writing transform layers. Also most APIs fail silently when they get malformed input, so you only find out when someone manually checks the pipeline weeks later.”
Users consistently say the workflow angle — showing how tools chain together — is the real differentiator over other directories.
✓ Shipped
✓ Shipped 2026-02-24 — Workflows are now the homepage with 25 individual workflow pages at /workflows/<slug>/, each with visual flow diagrams, step details, tool links, and alternatives.
“The workflow-first framing is the right lens. Most tool lists are just catalogs. Showing how Claude feeds into n8n which triggers a Braze send or a BigQuery write is where the actual value lives.”
“A lot of people keep asking 'what's the best AI tool?' but the real answer is usually a stack of 3-5 tools working together. Mapping those connections visually is actually pretty useful.”
“Most AI tool lists are just directories, but mapping how tools connect in real workflows is way more useful. The 25 workflows part sounds especially practical.”
“The workflow mapping angle is genuinely useful — individual tool lists are everywhere but seeing how things actually chain together is harder to find.”
“Most people struggle to figure out which tools actually fit together in a real process. A simple step by step example of a full workflow might help people understand the value faster.”
“The insight about comparison pages outperforming the visualization for SEO is a good reminder that the flashy feature gets people in the door but the boring content keeps Google happy. $10.46/year hosting cost is wild, well done.”
Users want to see how AI tools connect to business infrastructure — the orchestration layer (n8n, Make, Zapier) and agent tools.
Received
“One gap worth adding: the automation layer that connects AI tools to the business systems underneath. n8n, Make, Zapier — this is where a lot of the real value lives.”
Users want to remove tools they don't use from workflows and recommendations.
✓ Shipped
✓ Shipped 2026-03-09 — Click 'Exclude' on any tool to dim it on the graph and filter it from table/workflow views. Persists across sessions.
“Could you make it possible to exclude a tool from the stack? For example, I don't like working in Cursor, if I could just click on the node in the cloud to exclude it that would be handy.”