8 Habits for imeediate impact

 

08.09.2026

 

This is one of those days, that is a turning point in any person's life.

its is just like those days in Freising but now with this.

my thoughts today are: 

I do not regret the life I have lived.

I regret :

• Not taking care more of myselft, probably this shouldnt have happend.
• Not staying with my parents more, specially since the last years onwards,
• Not being closed with my daughters
• Not being closed with my systers

and regret and get angry about not being able to contribute more to the community and the world.

Starnberg, 08.09.2026

I hope I can have time to reverse all this.

this is the only thing I ask now.

1%

 

1.Remove any crutches

2. Re imagine the Timeline

3. True Freedom

4. Adversity in your life

5.Build a Strong Networking. Problem solver.., 

+ meditate,

Four Loops for validating and measurement robot development

 

Note: this are generic notes with ChatGPT aid :   (26.07.2026)

One of the biggest mistakes robotics startups make is treating every iteration as a technical iteration. In reality, you're trying to reduce uncertainty across several dimensions.

Loop	What are you validating?	Typical question
1. Customer	Problem and market	Are we solving a real problem worth paying for?
2. Technical	Robot capability	Can the robot reliably perform the task?
3. Operational	Deployment and usability	Can customers actually use and maintain it?
4. Business	Business model	Can we build a profitable, scalable company?

Notice that only Loop 2 is really about robot development. The other three are about turning a capable robot into a successful business.

Think of it as four risks

A robotics startup fails if any one of these is false:

1. People want it.
2. The robot can do it.
3. The customer can operate it.
4. The economics work.

Many startups spend years proving #2 while never really testing #1 or #4.

During early development

Suppose you're building an autonomous warehouse inspection robot.

You might run all four loops in parallel:

Customer loop

• Interview 20 warehouse managers.
• Observe current inspection workflows.
• Ask what inspections are missed and what that costs.

Technical loop

• Can the robot navigate a warehouse?
• Can it detect damaged pallets?
• Can it run for an 8-hour shift?

Operational loop

• How long does installation take?
• Can staff recover the robot if it gets stuck?
• How much training is needed?

Business loop

• Would a customer pay €1,000/month?
• How many robots would a typical warehouse need?
• What does deployment cost you?

They influence each other

Imagine you discover:

• Customers only need inspections twice a day (Customer loop).
• That means 99% navigation reliability is unnecessary (Technical loop).
• Simpler hardware reduces maintenance (Operational loop).
• Lower costs improve your margins (Business loop).

One customer insight can change the entire engineering roadmap.

A practical framework

Instead of thinking:

Build → Measure → Learn

For robotics, think:

Hypothesis → Experiment → Evidence → Decision

Every sprint should answer one important question, such as:

• Customer: "Warehouse managers will pay for automated inspections."
• Technical: "The robot can detect pallet damage with >95% accuracy."
• Operational: "A technician can install the system in under 2 hours."
• Business: "We can deploy profitably at our target price."

If the evidence supports the hypothesis, move forward. If not, adjust the product, the market, or the business model.

For robotics founders, this "risk-first" mindset is often more useful than thinking in terms of feature development. It helps ensure that engineering effort is spent reducing the uncertainties that matter most, not just building more capability.

To sum up.

Specifically for robotics

Most robotics founders should think in four loops, not just Build–Measure–Learn.

Loop 1 — Customer learning

Before writing code:

• What problem hurts enough?
• Who pays?
• What is the current workflow?
• What's the ROI?

Metrics:

• interview count
• willingness to pilot
• pilot conversion
• paid commitments

---

Loop 2 — Technical validation

Can the robot actually perform?

Metrics might include:

• success rate
• localisation error
• navigation uptime
• grasp success
• battery life
• intervention frequency

---

Loop 3 — Operational validation

Can customers live with it?

Measure:

• installation time
• training time
• maintenance frequency
• mean time between failures
• operator satisfaction

---

Loop 4 — Business validation

Can this become a company?

Track:

• customer acquisition cost
• gross margin
• deployment cost
• payback period
• annual recurring revenue (if applicable)

7 Questions that every business must answer

 This is an abstract from P. Thiel, book 0 --> `1, I read first in Mexico City in 2016 when working for Huawei Technologies, I didn't understand most of the book. Now I re-read it, in Starnberg 2026, building Isar Subsea Robotics and all makes sense.

1. The engineering question.

   Can you create breakthrough technology instead of incremental improvements ? . Here the key is to target 10X improvement from your nearest competitor or competition in general.

2. The Timing question.

Is now the right time to start this particular business?

3.  The Monopoly Question.

This referes to two things, one to the 10X in number 1. and are you starting with a big share of a small market ? . Basically this refers to bascially aim to create a Monopoly (i.e the author refers to companies Google, and others).

4. The People Question

Do you have the right team ?

5. The Distribution Question

Do you have a way to not only create but deliver your product ?

6. The Durability Question.

Will your market position be defensible in 10 and 20 years into the future? , this also refers that as long as you take this approach, take your time to enter the market, the company doesnt have to be the first.

7. The Secret Question.

Have you identified a unique opportunity that others don't see ?

25.07.2025

Once Upon a time 1873

 

Once upon a time 1873

 

There was a period when the US East Coast exported grains to Europe and West Coast did to China; moreover, US competed with China on cotton, and the North and South were divided on slavery and a dream of unification. And there was a tariff war also, it was a period of globalization. This was the “US before United”.

 

During the same time there was heavy investment in infrastructure, bridges, roads, telegraphs, electricity and oil was found to be a substance with interesting properties; for the first time techniques (engineering) were applied on each of this fields; and the outcome was that people benefitted enormously from this advances, the result was not only a gigantic progress at country level but most importantly, for the society i.e. instead of travelling for 3 weeks from point A to B, now it took 10 hours, having electricity in their homes, etc.

 

 This continued until there was Over Investment and high speculation, what followed is both historic and anecdotical, here allow Grok to tell, because I consider to be accurate :

The **Panic of 1873**  was one of the first major international economic crises of the industrial era. It began in 1873 and its effects lasted in many countries well into the 1870s and even the early 1880s.

 

### Causes

1. **Over-speculation in railroads (especially in the U.S. and Europe)**

   - The 1850s–1870s saw massive railway construction, financed by bonds and stocks.

   - In the United States, companies like the Northern Pacific Railway were heavily overextended.

   - The leading American investment bank **Jay Cooke & Company**, which was financing the Northern Pacific, declared bankruptcy on **September 18, 1873** → this triggered the panic.

 

2. **Post-Civil War and Franco-Prussian War economic bubbles**

   - United States: Massive money supply expansion during the Civil War + post-war reconstruction boom.

   - Europe: Germany received 5 billion francs in gold reparations from France after the 1870–71 war → huge speculative investment wave (“Gründerzeit” in Germany and Austria).

 

3. **Demonetization of silver (especially in Germany and the U.S.)**

   - Germany switched to the gold standard in 1871–73 and dumped large amounts of silver on the market → sharp fall in silver prices.

   - This hurt silver-producing countries and contributed to deflationary pressure.

 

4. **Crop failures and falling agricultural prices**

   - Good harvests in Europe and the opening of the American Midwest flooded grain markets → prices collapsed for farmers.

 

### Course of the Crisis

- **September 1873**: Jay Cooke & Co. fails → New York Stock Exchange closes for 10 days.

- **Vienna Stock Exchange crash** in May 1873 (the “Gründerkrach”) actually preceded the American panic and was part of the same speculative bubble.

- Bank runs and hundreds of banks and businesses failed in the U.S., Austria-Hungary, Germany, and Britain.

- Unemployment soared (estimates of 14–20 % in some industrial cities in the U.S. and Germany).

 

### Duration and Depth – The “Long Depression” (1873–1879/1896)

- Prices (wholesale and consumer) fell continuously for over 20 years in many countries → severe deflation.

- Real GDP growth slowed dramatically, though modern research shows it was more a period of very slow growth rather than absolute decline in most countries (except perhaps Austria-Hungary).

- The depression is considered to have ended around **1879** in the United States and Britain, but deflation and stagnation continued in many places until the mid-1890s.

 

### Effects by Country

| Country              | Key Effects                                                                                     |

|--------------------|-------------------------------------------------------------------------------------------------|

| **United States**     | ~18,000 businesses failed (1873–1877); violent labor strikes (1877 railroad strike); rise of the Greenback movement and later the Populist Party; shift toward the gold standard (finally adopted 1900). |

| **Germany/Austria-Hungary** | End of the “Gründerzeit” boom; thousands of new companies bankrupt; strong antisemitic backlash blaming Jewish bankers; rise of protectionism and Bismarck’s conservative turn. |

| **United Kingdom**    | Less dramatic stock-market crash but long industrial stagnation; “Great Depression of British Agriculture” (1870s–1890s). |

| **France**            | Relatively mild because France was still on a bimetallic standard and less industrialized.     |

 

### Long-term Consequences

- End of the first big wave of globalization (1870–1914) temporarily slowed down.

- Rise of protectionist tariffs (Germany 1879, U.S. continued high tariffs).

- Shift from bimetallism to the classical gold standard almost worldwide by the 1890s.

- Political radicalization: growth of socialist parties, agrarian populism, and antisemitism in Central Europe.

 

In short, the Crisis of 1873 was the first modern global financial crash caused by railway and industrial overinvestment, amplified by the switch to the gold standard and massive deflation. It marked the end of the carefree post-1850 economic boom and ushered in a more difficult, deflationary era that lasted until the late 1890s 

Anti Procrastination Tool (AntiPro)

 A tool for avoiding Procrastination

it is called, Anti Procrastination.  (AntiPro)

How to use:

• The different axis represent a subject that is important to focus; therefore it can be 2 axis, 3 axis (3D), here are represented 6 subjects as an example to focus.
• This tool is to be used per week.
• The Centric round are used to represent a day of the week.
• Everytime there is something done or executed, it is represented with a dot and a tag or label.
• This can be as a routine used.

Best Regards

Luis Orozco.