I Built OpenKap — A Loom Alternative for Small Teams Who Just Want to Ship
OpenKap is a new screen recording tool designed specifically for small teams that need to communicate quickly without scheduling meetings. It offers a simple interface that allows users to record their screen, share a link instantly, and avoid the complexities of larger video platforms. The tool also integrates with Claude AI for enhanced functionality, making it a valuable resource for remote teams and developers.
- ▪OpenKap allows users to record their screen and share links in under 60 seconds.
- ▪The tool is designed for small teams, offering a generous free tier and flat pricing for unlimited use.
- ▪OpenKap integrates with Claude AI, enabling users to interact with their videos for instant summaries and feedback.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/gurpreetkait/i-built-openkap-a-loom-alternative-for-small-teams-who-just-want-to-ship-27ij |
| Publication time | Sat, 23 May 2026 07:07:56 +0000 |
| Retrieval time | 2026-05-23T07:37:25.773Z |
| Last seen | 2026-05-23T07:37:25.773Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | AA_aXhXWIWFg |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 902807) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Gurpreet Kait Posted on May 23 I Built OpenKap — A Loom Alternative for Small Teams Who Just Want to Ship #productivity #devtools #startup #screenrecording Have you ever spent 15 minutes scheduling a meeting just to explain something that could have been a 90-second screen recording? Yeah. That was my everyday reality — and the reason I built OpenKap. The Problem I Kept Running Into I was working with a small, async-first team.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).