Eveline
Observed dead: the site no longer answers as a live product. Pulse has been flat over the last 30 days. Observation is liveness-only: no tracked press, repository, or traffic rank — existence is confirmed, momentum is unobserved.
HTTP liveness
realSignal telemetry
4 families · 2 observed · observed onlypippinbarr.comedge
direct originserver
GitHub.comTranco rank
#561,065
Analyst read
generated from the observed metrics above · no external narrativeEveline's site returned a hard-dead response when we last probed it on Aug 26, 2026, so we mark it inactive. Its Pulse Index is 4.3 of 100, built from 2 of 4 observed signal families. Observed footprint: 6 functional tags. It has no curated competitive-alternative edges yet, so the comparable set below is functional tag-similarity — read it with the confidence flags.
Comparable set
curated alternatives → functional tag-similarity| Company | Basis | Overlap | Pulse | 30d Δ | Status |
|---|---|---|---|---|---|
| Taskinessproductivity | tag-overlap | 100% | 8.0 | 0.0 | — unverified |
| BlogNLPai-tools | similar | 100% | 41.2 | 0.0 | ● live |
| re:collectproductivity | tag-overlap | 100% | 8.0 | 0.0 | — unverified |
| AIStoryBuildersai-tools | similar | 100% | 40.0 | 0.0 | ● live |
| Startup Idea Promptsproductivity | tag-overlap | 100% | 8.0 | 0.0 | — unverified |
| Ticknaskproductivity | tag-overlap | 86% | 40.0 | 0.0 | ● live |
| ContentOS with Notion AIai-tools | similar | 86% | 40.0 | 0.0 | ● live |
| Friday AIai-tools | similar | 86% | 41.5 | 0.0 | ● live |
Confidence reflects source and category coherence: curated = an editorially linked alternative; similar = strong functional tag-overlap in the same category; tag-overlap = shared tags only and may be noisy. Overlap is the shared functional-tag ratio (Jaccard) for tag-matched rows. Pulse is the observed-activity index real and 30d Δ its signed month change; a dash means insufficient observed history, never zero.
Structure
observed attributesFunding & team
not in sourceNo disclosed funding in our sources. Funding data covers only ~1% of the corpus (462 rounds across 79K products), so absence here is unknown, not zero— we don't estimate a number we can't source.