WeSearch

Year follow-up on buying pandemic stock dip and AI reallocation

·7 min read · 0 reactions · 0 comments · 3 views
Year follow-up on buying pandemic stock dip and AI reallocation
TL;DR · WeSearch summary

4 year follow-up on buying pandemic stock dip + AI reallocation Aug 4, 2026 This is my 4-year investment update following buying the dip on ‘pandemic stocks’ that declined (70%+) in 2022, then reallocating into AI stocks in 2023. I started sharing public updates once a year. This will be a relatively short update since my thesis is relatively unchanged.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,756 of its stories.

Original article
Gabe Mays
Read full at Gabe Mays →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

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 publisherGabe Mays
Canonical URLhttps://gmays.com/4-year-follow-up-on-buying-pandemic-stock-dip-ai-reallocation/
Publication timeWed, 05 Aug 2026 15:23:02 +0000
Retrieval time2026-08-05T15:35:41.796Z
Last seen2026-08-05T15:35:41.796Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster1_SjoGEFXITz · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

4 year follow-up on buying pandemic stock dip + AI reallocation Aug 4, 2026 This is my 4-year investment update following buying the dip on ‘pandemic stocks’ that declined (70%+) in 2022, then reallocating into AI stocks in 2023. I started sharing public updates once a year. Data in this update is as of June 2026. This will be a relatively short update since my thesis is relatively unchanged. See my past updates for more context: Recession opportunities (original post) 1 year follow-up on buying the dip on pandemic stocks 1.5 year follow-up on buying the dip on pandemic stocks 2 year follow-up on buying the dip on pandemic stocks 2.5 year follow-up on buying the dip on pandemic stocks 3 year follow-up on buying the dip on pandemic stocks Progress updates Below is the performance summary…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Gabe Mays.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from Gabe Mays