Coding vs Research AI moats
Coding AI has the wider moat: an average of 60 out of 100 against 56 for Research AI, 4 points apart. They rank 18th and 21st of 29 AI markets. Both rate a narrow moat. Coding is stronger on ecosystem and switching costs; Research on hard to copy. Research is less crowded, with a saturation of 14 against 44 for Coding. Coding is better protected but more crowded; Research is more open but easier to copy.
Side by side
The two markets on FalcoScan's moat rating, crowding and threats. The better figure of each pair is in bold; for crowding, threats and the no-moat share, lower is better.
| Measure | Coding | Research | Better |
|---|---|---|---|
| Moat rating | Narrow moat | Narrow moat | |
| Average moat | 60 of 100 | 56 of 100 | Coding, by 4 points |
| Rank among AI markets | 18 of 29 | 21 of 29 | Coding, by 3 places |
| Main moat | Habit and retention | Hard to copy | |
| Products with a wide moat | 8% | 3% | Coding, by 5 points |
| Products with no moat | 28% | 26% | Research, by 2 points |
| Saturation (crowding) | 44 | 14 | Research, by 30 points |
| Wrapper exposure | 28% | 1% | Research, by 27 points |
| Platform dependency | 43 | 23 | Research, by 20 points |
| Products rated | 492 | 142 |
Moat sources
Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.
Coding, filled · Research, dashed
Where Coding is stronger
- Ecosystem+26
- Switching costs+13
Where Research is stronger
- Hard to copy+8
Widest moats in each market
The five products with the highest moat score in each market, shown as bands. Exact scores are on paid plans.
Widest moats in Coding
- 01StripeThe developer-first payments infrastructure powering the internetWide moat
- 02MendixLow-code application platformWide moat
- 03Inngest WorkflowsDurable AI workflows and background jobsWide moat
- 04Opik LLM EvalOpen-source LLM evaluation and tracingWide moat
- 05Trigger Dev OpenOpen-source background jobs for TypeScriptWide moat
Widest moats in Research
- 01Lila SciencesAutonomous AI scientistWide moat
- 02NotCoAI-driven plant-based food formulationWide moat
- 03Open Alex Research APIFree open API for 250 million scholarly works with AI filteringWide moat
- 04InstaDeepDecision-making AI for the enterpriseWide moat
- 05Periodic LabsAI scientist for accelerated researchNarrow moat
More comparisons
Each market against its closest rivals by moat, and against the widest and narrowest markets. The figures are the two average moats.
Coding against
Questions
Which has a wider moat, Coding AI or Research AI?
Coding AI, with an average moat of 60 out of 100 across 492 rated products, against 56 across 142 in Research AI. 8% of Coding products have a wide moat, against 3% in Research.
Is Coding AI or Research AI more crowded?
Research is less crowded, with a saturation of 14 against 44 for Coding. Saturation runs from 0 to 100 and measures how crowded a market is. Coding is better protected but more crowded; Research is more open but easier to copy.
How do the moats of Coding AI and Research AI differ?
Coding's main moat is habit and retention and Research's is hard to copy. Coding leads on ecosystem (+26) and switching costs (+13). Research leads on hard to copy (+8).
Is Coding AI or Research AI more exposed to wrappers?
Coding AI: 28% of its products could be rebuilt on a public model quickly, against 1% in Research AI.
Which Coding and Research AI products have the widest moats?
In Coding: Stripe, Mendix and Inngest Workflows. In Research: Lila Sciences, NotCo and Open Alex Research API. Exact moat scores for every product are on FalcoScan's paid plans.
Cite and share
Quote a figure, link to the comparison or take the data for every market.
FalcoScan, “Coding vs Research AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/coding-vs-research
@misc{falcoscan_moats_compare_coding_vs_research_2026,
author = {{FalcoScan}},
title = {Coding vs Research AI moats},
year = {2026},
month = oct,
howpublished = {\url{https://falcoscan.com/moats/compare/coding-vs-research}},
note = {Data updated 9 October 2026}
}<a href="https://falcoscan.com/moats/compare/coding-vs-research">Coding vs Research AI moats (FalcoScan)</a>
Every market’s moat rating, average, sources, threats and saturation, as a CSV or as Markdown with the method and definitions. Free to use with a citation.
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