What rises in r/deeplearning.
Older ranked records represented before 2026-04-22. Useful for prominence and memory—not total activity.
Newest records from 2026-04-22 to 2026-08-08. The boundary is inferred because original retrieval provenance was not stored.
Core views require at least 1,500 total records and 500 canon records; this corpus has 1,759 and 759. Topic comparison is withheld because this corpus has not been topic-enriched.
Historical material available
759 ranked historical records span 10 represented years. Topic evolution is not shown until this corpus has enriched topic assignments.
What is earning attention now.
The newest-post pool is filtered within age bands, then ranked by score and reply-count percentiles. Posts newer than 7 days are withheld when enough mature candidates exist.
Candidate index is relative to this recent pool, not a prediction of future quality or final Reddit rank.
Read the recent pool without contaminating the canon.
Every lens below uses only the inferred newest-post cohort from 2026-04-22 onward. They describe patterns inside that selected pool—not subreddit-wide prevalence.
What the community keeps saying
Distinct-post frequency across 1,000 titles and 556 available bodies. High-information two-word frames lead; normalized domain terms remain expandable.
Show recurring domain terms
Inspect language emerging within the recent pool
What started appearing more often
Per-post prevalence in 500 earlier versus 500 later posts · 556 bodies available. Minimum support removes one-off spikes.
Show more emerging patterns
Which language markers became more visible
Boundary-aware phrase-marker rates across 1,000 titles and 556 available post bodies. Categories may overlap and describe language patterns—not author emotion.
View marker dictionary
curiosity: why, how, what, explain, understand, learn, curious, wonder, anyone know, thoughts on
frustration: broken, fails, failed, error, issue, problem, stuck, doesn't work, not working, frustrated, worse, unusable, bug
uncertainty: maybe, might, could, unsure, not sure, uncertain, possibly, seems, apparently, i think
excitement: amazing, awesome, excited, love, can't wait, incredible, finally, great, impressive, game changer, wow
urgency: urgent, asap, right now, immediately, today, deadline, breaking, just released, now available
appreciation: thanks, thank you, appreciate, helpful, grateful, shoutout, well done, great work, kudos
| Month | Curiosity | Frustration | Uncertainty | Excitement | Urgency | Appreciation |
|---|---|---|---|---|---|---|
| 2026-04 | 61.9% | 11.9% | 19.0% | 14.3% | 4.8% | 9.5% |
| 2026-05 | 38.2% | 10.7% | 11.4% | 7.3% | 4.7% | 7.3% |
| 2026-06 | 39.2% | 8.7% | 12.9% | 5.6% | 2.8% | 7.3% |
| 2026-07 | 42.3% | 12.2% | 9.4% | 7.0% | 2.8% | 7.3% |
| 2026-08 | 40.6% | 15.9% | 18.8% | 11.6% | 4.3% | 2.9% |
Where recent platform attention accumulated
Posts in the inferred recent candidate pool are binned by Reddit score and upvote ratio. Brighter cells contain more selected posts; score uses a logarithmic scale.
1,000 recent candidates represented · relative platform response, not quality or subreddit-wide reach.
| Score band | Upvote-ratio band | Posts |
|---|---|---|
| 0–0 | 10–20% | 21 |
| 0–0 | 20–30% | 38 |
| 0–0 | 30–40% | 58 |
| 0–0 | 40–50% | 29 |
| 0–0 | 50–60% | 111 |
| 1–1 | 50–60% | 12 |
| 1–2 | 50–60% | 3 |
| 3–4 | 50–60% | 1 |
| 1–1 | 60–70% | 58 |
| 1–2 | 60–70% | 11 |
| 3–4 | 60–70% | 6 |
| 4–5 | 60–70% | 4 |
| 7–9 | 60–70% | 3 |
| 11–14 | 60–70% | 1 |
| 14–18 | 60–70% | 1 |
| 18–23 | 60–70% | 2 |
| 1–2 | 70–80% | 24 |
| 3–4 | 70–80% | 4 |
| 4–5 | 70–80% | 22 |
| 5–7 | 70–80% | 5 |
| 7–9 | 70–80% | 1 |
| 9–11 | 70–80% | 3 |
| 14–18 | 70–80% | 1 |
| 18–23 | 70–80% | 1 |
| 29–36 | 70–80% | 1 |
| 72–90 | 70–80% | 1 |
| 3–4 | 80–90% | 17 |
| 4–5 | 80–90% | 25 |
| 5–7 | 80–90% | 18 |
| 7–9 | 80–90% | 10 |
| 9–11 | 80–90% | 7 |
| 11–14 | 80–90% | 5 |
| 14–18 | 80–90% | 4 |
| 18–23 | 80–90% | 3 |
| 23–29 | 80–90% | 1 |
| 29–36 | 80–90% | 2 |
| 36–45 | 80–90% | 3 |
| 45–57 | 80–90% | 2 |
| 72–90 | 80–90% | 1 |
| 114–143 | 80–90% | 2 |
| 143–179 | 80–90% | 1 |
| 225–282 | 80–90% | 1 |
| 1–1 | 90–100% | 254 |
| 1–2 | 90–100% | 44 |
| 3–4 | 90–100% | 41 |
| 4–5 | 90–100% | 21 |
| 5–7 | 90–100% | 13 |
| 7–9 | 90–100% | 11 |
| 9–11 | 90–100% | 9 |
| 11–14 | 90–100% | 17 |
| 14–18 | 90–100% | 6 |
| 18–23 | 90–100% | 14 |
| 23–29 | 90–100% | 4 |
| 29–36 | 90–100% | 8 |
| 36–45 | 90–100% | 3 |
| 45–57 | 90–100% | 5 |
| 57–72 | 90–100% | 4 |
| 72–90 | 90–100% | 6 |
| 90–114 | 90–100% | 7 |
| 114–143 | 90–100% | 2 |
| 143–179 | 90–100% | 2 |
| 179–225 | 90–100% | 1 |
| 282–354 | 90–100% | 2 |
| 354–443 | 90–100% | 1 |
| 443–556 | 90–100% | 1 |
Inspect available source posts.
Open the posts behind the interpretation. The score distribution is a diagnostic of this selected source set—not a model of the subreddit as a whole.
Inspect collected-score distribution
How attention is distributed
Collected posts grouped into Reddit score bands.
Available posts by Reddit score
20 availableSampling and methodology
Collected records: 1,759
Represented range: 2017-12-17 → 2026-08-08
The corpus combines a broad newest-post listing with bounded top/year and top/all listings. The interface infers the recent boundary from the newest 1,000 records because original retrieval provenance was not stored.
Older records are analyzed as a ranked historical canon. They can show what was prominent and repeatedly surfaced within ranked retrieval; they cannot estimate total monthly activity, publishing habits, or whole-conversation prevalence.
Recent contender ranking compares posts within age bands using score and reply-count percentiles. Platform attention is not evidence quality, accuracy, representativeness, or future performance.