Bluesky · Hashtag

#$DUOL

15
posts · 30d
7
users
1
posts / day
2.1
posts / user
+ 900% vs last week

#$DUOL is an active hashtag on Bluesky. In the last 30 days, 7 people shared 15 posts with it — around 1 a day. Activity is up 900% versus the previous week, peaking on Aug 2 with 4 posts.

#$DUOL posts per day (last 30 days)

Related tags

Tags most often used together with #$DUOL.

Posts with #$DUOL

Dirk Hagemann
@dirkhagemann.substack.com
4 months ago
P.S.: Große Verzweiflung bei "dividendenkoala", "finanzklumpfuß", dem Tenbagger-Idioten mit $HIMS und $DUOL im Taschengelddepot und vielen, vielen anderen Schwachmaten aus den Sozialen Medien, dass sie nicht dabei sein konnten und in der seriösen Finanzberichterstattung keine Rolle spielen.
0 1 13
@vegavandal.bsky.social
6 months ago
My fanfic- Tokenomics never works out, Anthropic/OAI are bad investments, they enable more competition in dumb software so like $DUOL is screwed, stiff like $MA and $V are more than fine, consumers mostly win not investors.
1 1 7
Finris
@finris-trading.bsky.social
6 days ago
For perspective, I got into $DUOL on that dip with conviction (still just 5 shares). Should have loaded more on the next dip, but lower conviction (2 shares) with earnings coming up. Sitting out until after now. Don't force trades 💪 #trading #stocks #investing #markets
1 0 1
robot2trade
@robot2trade.bsky.social
3 days ago
$DUOL Double Beat – Down 12% AH EPS $0.66 vs $0.61 (+8% beat) Revenue $298M (+1% beat, +18% YoY) DAU +23% (accelerated). Shares lower. @duolingo #DUOL
0 0 0
NDR, Jones' Act Disrespecter
@negdiscountrt.bsky.social
25 days ago
First they came for SaaS companies. I did not speak out because I wasn't a SaaS baggy. Then they came for $DUOL. I did not speak out, I mean I did but I said "SHORT $DUOL". Now they are coming for me $LRN and there is not a baggie left to speak for me. www.anthropic.com/news/cl….
Introducing Claude for Teachers

www.anthropic.com

Introducing Claude for Teachers

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

1 0 3

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