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Followers
336
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysisfor Ryan Marcus
Known for
35 views
From "Implementation Techniques For Main Memory Database Systems" by DeWitt et al., 1984 -- one of the most influential database papers.
8 views
After painstakingly building a custom pipeline for database papers (SIGMOD, PODS, VLDB, CIDR) to replace the now-defunct public APIs from ACM and Semantic Scholar, DBScholar is live with the complete DB citation graph, semantically similar papers, PageRank analysis, and trends!
https://rmarcus.info/dbscholar/
Trends on number of in-network citations and "hot" papers: https://rmarcus.info/dbscholar
3 views
Blog post -- "How not to complain about peer review."
I finally collected my thoughts about how I moved from "peer review rage" to a healthier (IMHO) perspective.
https://rmarcus.info/blog/2026/07/10/peer-review.html
📊 Post engagement
9
Avg engagement / post
2.7%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: From "Implementation Techniques For Main Memory Database Systems · 35 likes + reposts
📊 Activity & format
Posting cadence
0.46 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 9 text · 3 image · 0 video.
Follower / following
1×
Follows 345 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
🔥 Top post
From "Implementation Techniques For Main Memory Database Systems" by DeWitt et al., 1984 -- one of the most influential database papers.
CAREER submitted! I'm now moving from databases to my second passion, eating carrot cake.
Things I did during my PhD (2014 - 2019) for which I am now extremely grateful, but didn't seem like a big deal at the time:
Zotero
Roth IRA
Rust
Internships
Teaching (once)
TAing (all but 2 semesters)
Blog post -- "How not to complain about peer review."
I finally collected my thoughts about how I moved from "peer review rage" to a healthier (IMHO) perspective.
https://rmarcus.info/blog/2026/07/10/peer-review.html
In retrospect, one of the most valuable lessons I learned in grad school is that, even if you try really hard, you can still fail.
Experiencing my own fallibility in the absence of any possible excuse gave me the opportunity to understand…
The "read every paper you cite" discourse doesn't seem to mesh with the reality of the wide range of what "reading a paper" can mean.
1️⃣ I can read a paper to understand if it's directly or tangentially relevant to a particular topic I'm…
Crazy idea: NSF GRFP decisions released prior to the PhD application deadline.
(I'd love to learn the reason why this isn't the case, if anyone knows!)
After painstakingly building a custom pipeline for database papers (SIGMOD, PODS, VLDB, CIDR) to replace the now-defunct public APIs from ACM and Semantic Scholar, DBScholar is live with the complete DB citation graph, semantically similar…
Model routers have taught me that if I don't see "thinking..." for 5-20 seconds before getting a response, I'm likely looking at garbage. I give it 3 months before we see artificially added "thinking" delays.
Folks at "elite" universities have an extremely skewed vision of what the "college experience" looks like for the vast majority of Americans.
According to data from Drafty ( https://drafty.cs.brown.edu/csprofessors ), there are:
(100%) 377…
RE: https://discuss.systems/@ryanmarcus/115787453830694275
Update: Our paper received the CIDR Best Paper Award! Our lab is extremely grateful for the honor.
Seems like all the data agents, when faced with a massive input set, either synthesize traditional filters (like keyword search), or call an LLM for every row.
There's a performance (both accuracy and latency) chasm between the two. Our S…
Blog post -- "How not to complain about peer review."
I finally collected my thoughts about how I moved from "peer review rage" to a healthier (IMHO) perspective.
https://rmarcus.info/blog/2026/07/10/peer-review.html
In retrospect, one of the most valuable lessons I learned in grad school is that, even if you try really hard, you can still fail.
Experiencing my own fallibility in the absence of any possible excuse gave me the opportunity to understand…
The "read every paper you cite" discourse doesn't seem to mesh with the reality of the wide range of what "reading a paper" can mean.
1️⃣ I can read a paper to understand if it's directly or tangentially relevant to a particular topic I'm…
Crazy idea: NSF GRFP decisions released prior to the PhD application deadline.
(I'd love to learn the reason why this isn't the case, if anyone knows!)
After painstakingly building a custom pipeline for database papers (SIGMOD, PODS, VLDB, CIDR) to replace the now-defunct public APIs from ACM and Semantic Scholar, DBScholar is live with the complete DB citation graph, semantically similar…
Model routers have taught me that if I don't see "thinking..." for 5-20 seconds before getting a response, I'm likely looking at garbage. I give it 3 months before we see artificially added "thinking" delays.
Folks at "elite" universities have an extremely skewed vision of what the "college experience" looks like for the vast majority of Americans.
According to data from Drafty ( https://drafty.cs.brown.edu/csprofessors ), there are:
(100%) 377…
RE: https://discuss.systems/@ryanmarcus/115787453830694275
Update: Our paper received the CIDR Best Paper Award! Our lab is extremely grateful for the honor.
Seems like all the data agents, when faced with a massive input set, either synthesize traditional filters (like keyword search), or call an LLM for every row.
There's a performance (both accuracy and latency) chasm between the two. Our S…
🐘 Community & instance
Home server
discuss.systems
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 9 views per post.
📤Posts about 0.5× per week.
🕵️ Fake follower check
Estimated89/100
Excellent
Credibility score
99%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 99% real, active audience · Low fake-follower risk.
- Strong engagement (~2.7% of followers engage each post) — an active, real audience.
- Verified account.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Asst prof computer science @ UPenn. Machine learning for systems. Databases. He/him.
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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12%
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