@arvidkahl
Building podscan.fm in Public. Raising all the boats with kindness.
🎙️ tbf.fm · ✍️ tbf.link/blog · 🗞️ bootstrapped.news · 📚 arvidsbooks.com
Posts
36
2 increase
This section shows tweet / post counts for the last 7 days compared to the previous 7 days. If you have less than 14 days of data, we will show the available data.
Impressions
81K
32.4% decrease
This is the total number of impressions your posts have made in the last 7 days compared to the previous 7 days. If you have less than 14 days of data, we will show the available data.
Likes
629
23.4% decrease
This is the total number of likes you've received in the last 7 days compared to the previous 7 days. If you have less than 14 days of data, we will show the available data.
Followers
204
0.3% increase
This is the total number of followers you have acquired in the last 7 days compared to the previous 7 days. If you have less than 14 days of data, we will show the available data.
Impressions
Impressions
We collect new impression data each day if your graph isn't showing enough data yet, it's because we are waiting for more data to be available.
Followers
Followers
We collect new follower counts each day if your graph isn't showing enough data yet, it's because we are waiting for more data to be available.
Engagement
Engagement
We collect new engagement data each day if your graph isn't showing enough data yet, it's because we are waiting for more data to be available.
Top Posts
Top Posts
We show the top posts from the last 7 days.
| Post | Impressions | Retweets | Quotes | Likes | Replies | Engagement Rate | Actions |
|---|---|---|---|---|---|---|---|
| Coding in the age of AI is so odd. I use a 3rd party that responds with AI-generated JSON. Sometimes, this JSON is invalid, missing a " or a comma. Now, because validating this is tedious, I send the JSON to another AI with a prompt to correct it. Spaghetti code reimagined. 🤣 | 13.3K | 7 | 0 | 200 | 38 |
1.94%
|
|
| TikTok ban, eh? That’s going to cause some significant damage to a lot of small businesses who have found their customer base there. Plus all the data / posting / analytics SaaS around the platform. Hrm. | 12.8K | 5 | 0 | 70 | 24 |
0.78%
|
|
| When you thought it couldn’t get much weirder…. | 9.7K | 1 | 1 | 21 | 1 |
0.27%
|
|
| All it took was a lawsuit. Incredible. | 8.9K | 1 | 0 | 44 | 4 |
0.56%
|
|
| Dynamically injected ads in podcasts are fiendishly hard to detect, particularly when they’re baked into the mp3. I wish there was an industry standard to mark those locations in the metadata. Not to remove the ad, but to mark and analyze it. | 8.8K | 3 | 0 | 50 | 17 |
0.91%
|
|
| Working on something ;) Podscan will soon track podcast chart rankings over time — which will help my users find better guest placement and sponsorship opportunities. This will also be part of a few marketing explorations I'm going on soon. Incredibly fun to work on this :D https://t.co/gwoUYKTtV2 | 8.4K | 1 | 0 | 110 | 21 |
1.72%
|
|
| This reminds me of fonts. I listened to The Economics of Everyday Things pod earlier today, and they described the font landscape. A good font is readable but distinct. Recognizable but unique. Same but different. UI libraries have the same vibe. | 5.6K | 0 | 0 | 9 | 2 |
0.25%
|
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| Every week, something amazing happens in AI. What used to be a once-in-a-decade event is now just a few days away at any given moment. This time: 75% memory reduction in LLMs. Inching ever closer to local machines. https://t.co/rkP4yOWkRk | 5.3K | 6 | 0 | 44 | 7 |
1.38%
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| Welcome to 2024 where this is coding (and it actually works). https://t.co/O5gKtcRRP0 | 4.8K | 2 | 0 | 35 | 6 |
1.03%
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| A thing that truly irritates me is sending me actually urgent or pressing emails (like outstanding payments, expirations) from a noreply email address. I just don’t get how we don’t have ways to reliably attribute a sent email to a reply and therefore just don’t want ANY mails. | 4.3K | 0 | 0 | 20 | 6 |
0.63%
|
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (7 + 0 + 200 + 38 + 12) / 13263 * 100 =
For this tweet: (7 + 0 + 200 + 38 + 12) / 13263 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (5 + 0 + 70 + 24 + 0) / 12753 * 100 =
For this tweet: (5 + 0 + 70 + 24 + 0) / 12753 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (1 + 1 + 21 + 1 + 2) / 9723 * 100 =
For this tweet: (1 + 1 + 21 + 1 + 2) / 9723 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (1 + 0 + 44 + 4 + 1) / 8851 * 100 =
For this tweet: (1 + 0 + 44 + 4 + 1) / 8851 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (3 + 0 + 50 + 17 + 10) / 8820 * 100 =
For this tweet: (3 + 0 + 50 + 17 + 10) / 8820 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (1 + 0 + 110 + 21 + 12) / 8376 * 100 =
For this tweet: (1 + 0 + 110 + 21 + 12) / 8376 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (0 + 0 + 9 + 2 + 3) / 5634 * 100 =
For this tweet: (0 + 0 + 9 + 2 + 3) / 5634 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (6 + 0 + 44 + 7 + 16) / 5277 * 100 =
For this tweet: (6 + 0 + 44 + 7 + 16) / 5277 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (2 + 0 + 35 + 6 + 6) / 4756 * 100 =
For this tweet: (2 + 0 + 35 + 6 + 6) / 4756 * 100 =
Engagement rate is calculated as (interactions / impressions) * 100.
For this tweet: (0 + 0 + 20 + 6 + 1) / 4264 * 100 =
For this tweet: (0 + 0 + 20 + 6 + 1) / 4264 * 100 =