AI tool comparison
Gemini Deep Research API vs Pretty Fish
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Gemini Deep Research API
Autonomous research agents with MCP and native charts in your app
75%
Panel ship
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Community
Paid
Entry
Google opened its Deep Research and Deep Research Max agents to developers via the Gemini API, running on Gemini 3.1 Pro. These are the same autonomous research agents that power the consumer Gemini experience — now available as API primitives you can embed in your own apps, dashboards, or agentic workflows. Deep Research Max is benchmarked at 93.3% on DeepSearchQA, a record for autonomous research. The April 2026 API launch adds capabilities beyond the consumer product: MCP server support for connecting to private data and professional streams (FactSet, S&P Global, and PitchBook integrations are already live), native chart and infographic generation inline with research output, and the ability to mix sources simultaneously — web search, uploaded PDFs/CSVs/video/audio, and URL context. Code Execution and File Search also run alongside web grounding in a single call. For developers building research-heavy apps — competitive intelligence, financial analysis, legal research, scientific literature review — this is a meaningful unlock. Rather than chaining together search, retrieval, synthesis, and visualization layers yourself, the Deep Research API handles the full multi-hop research loop. Pricing and rate limits at enterprise scale remain the key question.
Developer Tools
Pretty Fish
Free, beautiful Mermaid diagram editor that works offline
75%
Panel ship
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Community
Free
Entry
Pretty Fish is a free, open-source Mermaid diagram editor with live preview, 5 built-in themes, multi-page workspaces, and one-click SVG/PNG export. It works offline as a Progressive Web App (PWA) and requires no account, no login, and no installation. It supports all 14+ Mermaid diagram types including flowcharts, sequence diagrams, Gantt charts, entity-relationship diagrams, and Git graphs. The editor includes syntax highlighting, auto-completion, instant error feedback, and a clean split-pane layout. The multi-page workspace lets you manage entire diagram projects in a single session. Export quality is excellent — SVG output is clean and scaling-ready for use in presentations, docs, or design systems. Pretty Fish hit Hacker News front page today with 128 points and has the makings of the go-to Mermaid editor for developers who generate diagrams from AI-assisted documentation workflows. With LLMs increasingly generating Mermaid syntax in their outputs, having a polished renderer and editor matters more than ever.
Reviewer scorecard
“The MCP integration is the real story — connecting Deep Research to our internal data warehouse with a single server definition and getting research-grade synthesis in return is exactly what enterprise AI apps need. This replaces three separate pipeline stages for us.”
“The official Mermaid live editor is clunky and slow. Pretty Fish loads instantly, works offline, and the multi-page workspace means I can manage all my architecture diagrams in one place. Bookmarking this immediately as my default Mermaid editor.”
“93.3% on DeepSearchQA sounds great until you hit domain-specific queries where benchmark performance rarely holds. With Google controlling the search layer, there are legitimate questions about source diversity and SEO-optimized results contaminating research quality.”
“It's a genuinely nice editor but it's solving a niche problem — most devs who need Mermaid diagrams already use VS Code extensions or embed them in Notion. And with no backend, there's no collaboration or sharing story, which limits its use in team workflows.”
“When every developer app embeds a research agent that simultaneously queries the live web and private data, the gap between Bloomberg Terminal-quality research and a startup's internal tool effectively collapses.”
“As AI tools increasingly output Mermaid syntax to explain architectures and flows, the need for a great rendering environment grows. Pretty Fish positions itself at the intersection of AI-generated diagrams and human editing — that's a well-timed niche.”
“Native chart generation inside research output is the killer feature — I can hand a client a report with visualizations baked in, not just text summaries. That changes the entire deliverable format for research-heavy creative work.”
“Five beautiful themes and clean SVG exports mean I can finally use Mermaid diagrams in client-facing presentations without them looking like developer scratch notes. This is the Mermaid editor I've always wanted and the zero-friction setup seals it.”
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