Good Morning from #Germany, where stock market culture is booming – at least among retail investors. Net inflows into equity funds and equity ETFs rose to nearly €52bn last year, making it the second-best year on record after the boom year of 2000, when German investors put https://t.co/M2zeM7c1PG — Holger Zschaepitz (@Schuldensuehner) Feb 10, 2026

Channel
Holger Zschaepitz
@Schuldensuehner
On this record: Growth · Engagement · Posts · Citations · Cite this entry
138subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001294524568 |
|---|---|
| Type | Channel |
| Username | @Schuldensuehner |
| Created | 4 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Schuldensuehner |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 02:08 | 138 | +1 |
| 8 Aug 2026, 23:16 | 137 | no change |
| 6 Aug 2026, 16:53 | 137 | first reading |
Engagement
20 posts held, back to 30 January 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 10 February 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
TOTALLY CRAZY! #Alphabet has attracted >$100bn of orders for a bond sale that’s expected to be ~$15bn, BBG reports, citing people w/direct knowledge of the matter. The demand is among the strongest ever seen for a corp bond offering, showing investor hunger to buy debt tied to https://t.co/Z5Kyxqbq11 — Holger Zschaepitz (@Schuldensuehner) Feb 9, 2026
Good Morning back from Germany, where house prices at the start of the year fell more sharply than at any point since 2023. The Europace House Price Composite Index declined by 0.27% in January compared MoM, w/prices for existing homes falling in particular. One key reason is the https://t.co/V1UGJzabLy — Holger Zschaepitz (@Schuldensuehner) Feb 9, 2026
FOBO is the new FOMO. 📉 Fear Of Becoming Obsolete is ripping through the software sector. We are moving from "Generative AI" (tools) to "Agentic AI" (replacements). If your SaaS product just digitizes a process, Anthropic’s Opus 4.6 just made you vulnerable. The "moat" is gone. https://t.co/WwGKln0CLI — Holger Zschaepitz (@Schuldensuehner) Feb 7, 2026
Good Morning from #Austria, where public spending accounts for more than 55% of GDP – one of the highest ratios in the world. Only France, Finland, and Libya have an even larger share of government spending relative to their economies. https://t.co/g2odwk2CeB — Holger Zschaepitz (@Schuldensuehner) Feb 7, 2026
Dow Jones Industrial Average breaks above 50,000 for the first time amid optimism over the US economy and corporate earnings. (BBG) https://t.co/zICMBnkC8d — Holger Zschaepitz (@Schuldensuehner) Feb 6, 2026
OOPS! #Microsoft is now almost 30% below its highs. Over the past 10+ years, the only larger drawdown was in 2022. The stock has also given up all of its relative outperformance versus the S&P 500 since November 2022, when ChatGPT was launched. (via Goldman) https://t.co/D1LZu35I2c — Holger Zschaepitz (@Schuldensuehner) Feb 6, 2026
Big Tech’s ‘breathtaking’ $660bn spending spree reignites AI bubble fears. Spending planned by Alphabet, Amazon, Meta, and Microsoft is a boom without a parallel this century. The companies' estimates for this year are expected to either near or surpass their budgets for the past https://t.co/7FtJAomGK3 — Holger Zschaepitz (@Schuldensuehner) Feb 6, 2026
This chart says a lot. Almost overnight, software has come to be seen as a sector that could be fundamentally disrupted by AI. The recent sell-off has picked up speed following the release of Anthropic’s Opus 4.6. https://t.co/75nIapFUuN — Holger Zschaepitz (@Schuldensuehner) Feb 6, 2026
Good Morning from #Austria, where the debt ratio is now well above 80%, significantly higher than in Germany, and the EU has launched an excessive deficit procedure (EDP) against the country. The main reasons are the recession of recent years, generous crisis subsidies such as https://t.co/3u6UaZV145 — Holger Zschaepitz (@Schuldensuehner) Feb 6, 2026
Good Morning from #Austria where the Austrian Euro is ~20% overvalued vs. the German Euro when measured by Nutella purchasing power parity (Price for homogeneous product Nutella): A 750g jar costs €8.79 per kg in Austria vs €7.05/kg in Germany, so by that metric, Austria's Euro https://t.co/izSVJPBPmM — Holger Zschaepitz (@Schuldensuehner) Feb 5, 2026
I like this chart from the latest note by credit legend Matt King, who shares sharp and often provocative ideas through Satori Insights. It shows a correlation between the change in the Fed's balance sheet and Bitcoin. His rule of thumb is that expansions in central bank reserves https://t.co/O4Uuu1rn1c — Holger Zschaepitz (@Schuldensuehner) Feb 4, 2026
Showing the 12 most recent of 20 posts we hold for @Schuldensuehner. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 1,077,627 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Holger Zschaepitz” (@Schuldensuehner), 138 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Schuldensuehner.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.