Real-time
Competitive72 extractable responses · Winner: Custom/DIY at 21%
Overall Breakdown
n=72 extractable responses.
Custom/DIY15/72 (20.8%) CI: 13.1–31.6%
Supabase Realtime11/72 (15.3%) CI: 8.8–25.3%
SSE10/72 (13.9%) CI: 7.7–23.7%
Socket.IO8/72 (11.1%) CI: 5.7–20.4%
Also Recommended
Tools that appear as second-choice alternatives or mentions when a different tool is picked as primary. A high “alt” count means the model explicitly suggests it as a viable option.
| Tool | Alt picks | Mentions | Total |
|---|---|---|---|
| Socket.IO | 12 | 9 | 21 |
| Pusher | 9 | 6 | 15 |
| Ably | 9 | 6 | 15 |
| Supabase Realtime | 7 | 8 | 15 |
| Liveblocks | 5 | 8 | 13 |
| WebSockets | 5 | 6 | 11 |
| Firebase | 4 | 8 | 12 |
| PartyKit | 2 | 9 | 11 |
Model-by-Model Comparison
Models Disagree on This Category
Sonnet: SSE 23%Opus 4.5: Custom/DIY 19%Opus 4.6: Custom/DIY 20%
The most fragmented category. Sonnet leads with SSE among 8 tools. Opus 4.6 spreads picks across 14, the widest distribution in the dataset.
| Repo | Sonnet 4.5 | Opus 4.5 | Opus 4.6 |
|---|---|---|---|
TaskFlowJS/TS Next.js 14, TypeScript, App Router | |||
InvoiceTrackerJS/TS Vite, React 18, TypeScript | Custom/DIY54.5% Socket.IO9.1% |
Category Insight
The most fragmented category. No tool dominates. Choice varies by use case: SSE for simple updates, Socket.IO for bidirectional, Liveblocks for collaboration.
Frequently Asked Questions
- What real-time tool does Claude Code recommend?
- Custom/DIY is the most-recommended real-time tool, appearing in 21% of responses. The runner-up is Supabase Realtime at 15.3%. This is based on 72 extractable responses across 4 project types.
- Is real-time a settled or competitive market in AI recommendations?
- Real-time is classified as "Competitive" — no single tool dominates (<50%), and the winner often depends on the project stack.
- Do different Claude models agree on real-time tools?
- No — models disagree on this category. The most fragmented category. Sonnet leads with SSE among 8 tools. Opus 4.6 spreads picks across 14, the widest distribution in the dataset.