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Diffbot

Diffbot✓

Mastodon @diffbot@masto.ai
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🔄 Data last refreshed 8 days ago
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Make a deal with Diffbot

🔒 Paid proposals held safely in escrow — released only when the work's approved.

📣Sponsored postOne disclosed post (toot) with your link and message. $12→ 🧵Sponsored threadA multi-post explainer or story — the fediverse rewards dept… $30→ 📦Product seeding / honest reviewSend me your product — I post a disclosed, honest take. Auth… $16→ 📌Pinned sponsored postA disclosed post pinned to the top of my profile for the mon… $36/mo→ 🔗Profile link (bio field)Your link in one of my profile metadata fields for the month… $18/mo→ 🔁Boost packageI boost (repost) your account's toots through the month — di… $24/mo→ 🏛️Instance / community sponsorshipSponsor the server I run — a sponsor line in the About/rules… $30/mo→ 🤝Mutual boost collabWe boost each other across instances — a value swap between … Swap→ 🎬UGC HireBranded content for your own channels & ads from $50→ 🎙️Podcast guest spotInvite Diffbot onto your podcast (~45 min, remote) $25→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $75/hr→

Every booking is a normal escrow-protected deal.

Followers
46
Account age
3 yrs
🎁 Free analysisfor Diffbot
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

📊 Post engagement

1
Avg engagement / post
2.2%
Engagement vs followers
Jan 2023
On Mastodon since

🔥 Top post: The model isn't the moat. Perplexity can be recreated as a side · 1 likes + reposts

📊 Activity & format

Posting cadence
0.23 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 7 text · 4 image · 1 video.
Follower / following
0.3×
Follows 138 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 Top post The model isn't the moat. Perplexity can be recreated as a side project. #DeepSeek proved this. We proved this. Download Diffbot LLM. Run it off your own GPU. Congrats, your on-prem #AI is smarter than Perplexity. ★ 1
Zoom is the new Webex. 9 minutes after the meeting was supposed to start. Zoom Rooms won't connect. Locked out despite never logging in. Hiring for engineers? Instead of a leetcode interview, try asking them to build an #MCP server in Python. Between scant repo examples, FastMCP's irritating vector resemblance to FastAPI, and 180 degree overhauls on every MCP spec release, … The solution is to reinforce the use of knowledge tool calls for every query in post-training. By consistently grounding responses to citable sources, even the occasional quirk and hallucination are explainable. This phenomenon can sneak into production environments in unobvious ways. If there are enough token predictions pointing to the right answer, it's all too easy to skip the tool call and generate a structured response that still validates s… ▶ It's fascinating to see the Mandela Effect take hold on LLMs as much as it does people. This is especially true for LLMs that see its own pretrained memory as a tool for knowledge recall, rather than as an orchestrator (most LLMs). To learn more, check out the repo: https://github.com/diffbot/diffbot-llm-inference 89,886 developers are building their own Perplexity on-prem with Diffbot LLM — https://huggingface.co/diffbot/Llama-3.1-Diffbot-Small-2412 1. Diffbot LLM is a side project. Sonar is Perplexity's entire business. 2. We used the profits from our primary business to train Diffbot LLM. Perplexity raised $915M to train theirs. 3. We open sourced Diffbot LLM. Perplexity chose to ke… Let's be frank here. The score difference is insignificant. And we'll probably play SimpleQA tag for awhile. What IS significant is how we got here vs. Perplexity. While working on my talk last week, Perplexity released Sonar Pro API with a special emphasis on its factuality benchmark F1 score of 0.858, handily beating other internet connected LLMs like Gemini-2.0-flash. The SimpleQA benchmark they … Perplexity Sonar Pro API launched last week as the best performing model on factuality. 24 hours later, it's the 2nd best performing model (and it's not because of DeepSeek).

🐘 Community & instance

Home server
masto.ai
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
Jan 2023
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2023 — 3 years ago.
👁️Averages 1 views per post.
📤Posts about 0.2× per week.

🕵️ Fake follower check

Estimated
83/100
Excellent Credibility score
99%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 99% real, active audience · Low fake-follower risk.
  • Strong engagement (~2.2% 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

AI that finds facts.

📸 Gallery

Zoom is the new Webex. 9 minutes after the meeting was supposed to start. Zoom Rooms won't connect. Locked out despite never logging in. Hiring for engineers? Instead of a leetcode interview, try asking them to build an #MCP server in Python. Between scant repo examples, FastMCP's irritating vector resemblance to FastAPI, and 180 degree overhauls on every MCP spec release, it's impossible to vibe code your way to a working server. This first turn on Claude Opus 4.1 is so wrong it might just take burning the rest of humanity's natu The solution is to reinforce the use of knowledge tool calls for every query in post-training. By consistently grounding responses to citable sources, even the occasional quirk and hallucination are explainable. It's fascinating to see the Mandela Effect take hold on LLMs as much as it does people. This is especially true for LLMs that see its own pretrained memory as a tool for knowledge recall, rather than as an orchestrator (most LLMs). While working on my talk last week, Perplexity released Sonar Pro API with a special emphasis on its factuality benchmark F1 score of 0.858, handily beating other internet connected LLMs like Gemini-2.0-flash. The SimpleQA benchmark they used is open source and LLM judged, so I set it up to run the 4000 question eval on Diffbot LLM overnight and went to bed. The next morning, we beat Sonar Pro.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Dan Kletter Dan Kletter 17% MisWiredKE MisWiredKE 17% Nosh Nosh 14% Simon Heitin Simon Heitin 13% César César 13% Christian Klass Christian Klass 11%

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Frequently asked questions

How much does Diffbot charge for a sponsorship?
Diffbot hasn't published fixed prices yet. Send a proposal through SocialDB and agree terms directly — your payment is held in escrow until the work is approved.
How do I contact Diffbot for a brand deal or collaboration?
Send a paid deal or collab request right here on SocialDB — we notify Diffbot, and once they accept, your payment is held safely in escrow and released when the work is approved. You don't need to track down an email.
How many followers does Diffbot have?
Diffbot has 46 followers on Mastodon.

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