Item detail
github.com

OvOhao/auto-paper-collecter

RepoRadar surfaced OvOhao/auto-paper-collecter — a research project — into the Research section, where it sits at Silver tier with a 'try now' verdict. Its strongest signal is workflow potential, scored 9.0 out of 10.

Score7.9
Popularity1.0
Riskconditional
TierSilver
Score breakdown
Usefulness8.0
Novelty7.0
Momentum5.0
Maturity5.8
Open-source/build8.4
Evidence8.0
Workflow potential9.0
Setup ease6.4

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for researchers and builders who want a narrower, keyword-driven paper feed plus implementation tracking instead of hand-scanning arXiv and scattered RSS tabs every day.

Where this stands now

OvOhao/auto-paper-collecter ranks #2 of 5 tracked Research items by composite score (7.9 against a section median of 7.7). The section currently carries 2 Bronze, 2 Silver, 1 Gold. RepoRadar has retained observations for this record since 2026-06-28 (89 days in the current window).

Who should use it

Researchers tracking a narrow set of AI topics Builders who want paper plus GitHub implementation discovery in one loop Power users who prefer a self-hosted research dashboard over another hosted newsletter Claude Code or Codex users who want a reusable daily literature workflow

Who should skip it

Skip OvOhao/auto-paper-collecter if the source link, documentation, or setup requirements do not align with your current workflow or stack.

About this signal

OvOhao/auto-paper-collecter is tracked by RepoRadar as a research project in the Research section. First seen 2026-06-28; the source record was last checked on 2026-06-28. The current verdict is 'try now' with a Silver tier and moderate setup difficulty. The standout signals for OvOhao/auto-paper-collecter are workflow potential (9.0) and open-source/build quality (8.4), while momentum (5.0) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.

How this item is evaluated

The OvOhao/auto-paper-collecter record combines a 7.9/10 composite score with separate popularity (1.0), risk (conditional), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.

Questions worth asking before you adopt this

Putting this into practice? Read How to read AI benchmarks without getting fooled for the checklist behind this score.

Risk explanation

If you enable the optional LLM filtering or summarization path, titles, abstracts, and keyword profiles can be sent to an OpenAI-compatible provider, so keep sensitive topics on a trusted endpoint or run without AI mode; SMTP digests require stored mail credentials or app passwords when email notifications are turned on, so treat the notification path as a secret-bearing integration rather than a casual toggle.

Evidence links
Closest alternatives / related signals
research papers github-discovery rss fastapi mit
Verification record

What RepoRadar actually verified

Discovered

Automated discovery and source capture. Last checked 2026-09-25T13:50:57.994663Z.

No editorial or hands-on review is claimed. This record remains at Discovered.

Verification sources

Longitudinal intelligence

How this decision record is moving

Raw history JSON →

68 dated snapshots retained from 2026-06-28 through 2026-09-25; see the snapshot index for explicit coverage gaps. Stars, version, release, pricing, integration, risk, maintenance, verdict, score, and momentum fields remain explicit even when a source has not reported them. Repository momentum is a normalized 0–10 RepoRadar signal; GitHub stars appear only where the popularity monitor retained exact timestamped observations.

RepoRadar score7.9 current · +0.0 net
Repository momentum5.5 current · +0.5 net
GitHub stars (observed)62 current · +12 net
GitHub stars62 exact observation
VersionNot reported by source
Last releaseNot reported by source
Maintenancemaintained
Current riskconditional
Current verdicttry now
Pricing baselineNo structured commercial pricing baseline
Pricing checkedNot applicable or not recorded
Pricing freshnessNo dated commercial pricing review
Integrations baselineClaude Code, OpenAI

Recent dated points

DateScoreMomentumStarsRiskVerdictMaintenance
2026-09-257.95.562conditionaltry nowmaintained
2026-09-247.95.562conditionaltry nowmaintained
2026-09-237.95.562conditionaltry nowmaintained
2026-09-227.95.562conditionaltry nowmaintained
2026-09-217.95.561conditionaltry nowmaintained
2026-09-207.95.561conditionaltry nowmaintained
2026-09-197.95.561conditionaltry nowmaintained
2026-09-177.95.561conditionaltry nowmaintained
2026-09-157.95.561conditionaltry nowmaintained
2026-09-137.95.560conditionaltry nowmaintained
2026-09-127.95.560conditionaltry nowmaintained
2026-09-117.95.560conditionaltry nowmaintained

Why the record changed

stars changed

Stars changed: 61 → 62.

stars changed

Stars changed: 60 → 61.

stars changed

Stars changed: 59 → 60.

stars changed

Stars changed: 58 → 59.

stars changed

Stars changed: 57 → 58.

stars changed

Stars changed: 56 → 57.

stars changed

Source-observed stars changed: 55 → 56. This reports the retained observation delta and does not infer why the upstream change occurred.

maintenance changed

Source-observed maintenance status changed: active → maintained. This reports the retained observation delta and does not infer why the upstream change occurred.

stars changed

Stars changed: 53 → 54.

stars changed

Stars changed: 50 → 53.