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---
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title: Dimitri - 12.12.24
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created_date: 2024-12-12
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updated_date: 2024-12-12
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aliases:
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tags:
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---
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# Dimitri - 12.12.24
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## Fragen
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- Hast du Anwalt / Steuerberater für Aktien & Startup?
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-
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@@ -1,55 +0,0 @@
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---
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title: OneSec Cofounder Verhandlung
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created_date: 2025-01-09
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updated_date: 2025-01-09
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meeting_date:
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aliases:
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tags:
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type: meeting
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status: not_started
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---
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# OneSec Cofounder Verhandlung
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- **🏷️Tags** : #01-2025 #habit
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---
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## Meeting Summary
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### Participants
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- [[Dannick]]
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- [[Floris]]
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### Summary
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> [!important] OneSec Cofounder Verhandlung
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> Please summarize the meeting here
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## Preparation
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### Todos
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- [ ] Meine handnotizen zuhause durchschauen
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- [ ] Chatgpt fragen was sonst noch verhandelt werden soll
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### Questions
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- [ ]
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### Points to Discuss
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#### Compensation
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- Stock plan
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- Lohn: 5000 Netto nach steuern --> ungefähr 6100 brutto
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- Berechnung
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- 6000 brutto --> 5350 netto
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- 12\*5350=64200 CHF - 10k abzüge = 54000 Steuerbares einkommen --> 5k steuern --> ca 425 chf pro monat
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- **5000 netto nach steuern sind ungefähr 6100 brutto**
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- 4500 netto nach steuern sind ungefähr 5500 brutto
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- Lohnplan: wenn externe Investition, dann angemessener lohn: 90-100k
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- Stock options 20-24
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- (unpaid leave --> keep options in their entirety)
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- Valuation of the stock option contract
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- mit Anwalt reden und tax ruling aufsetzen
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- Was wenn ich es versteuern muss --> 30% mehr anteile
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- kosten auf firma
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#### Responsibility & Freedom to act
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- written down on paper
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- how are decisions being made?
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####
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## Meeting Minutes
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### Deliverables
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- [ ] Signed Contract: Lohn
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- [ ] Action Plan for Tax Ruling and late co-founder problem
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- [ ]
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@@ -1,55 +0,0 @@
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---
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title: Sensirion - 1
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created_date: 2024-11-12
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updated_date: 2024-11-12
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meeting_date:
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aliases:
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tags:
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type: habit
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status: not_started
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---
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# Sensirion - 1
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- **🏷️Tags** : #11-2024 #habit
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---
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## Meeting Summary
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What You Move
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As an Algorithm and Data Engineer you'll be responsible for shaping the intelligence behind our product
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You develop the next level of reliable methane emission detection, localization and quantification
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With your solutions our customers are able to reduce their gas emissions https{{:}}//sensirion-connected.com/
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You combine physical knowledge with the latest data analysis methods to create an impact
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What Awaits You
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A very agile, highly motivated and competent team that works together on an interdisciplinary basis
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Short development time between product idea and market launch
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Modern data processing frameworks such as Apache Spark
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Exciting and challenging work within an international team and global market environment
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What You Bring Along
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Academic background in engineering or natural sciences (FH/TU/ETH)
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Sound understanding of physical and mathematical relationships
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Several years of work experience in the field of data science or data engineering
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Proficiency in Python, experiences in SQL and Apache Spark are a plus
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---
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Data excites me, because it allows to better understand the world around us and design systems to improve it. As data quality and interpretation algorithms evolve, so does our ability to tackle and solve critical problems - a compounding benefit for society. Sensirion’s focus on sensing and analytics is something I am highly motivated by, and I am eager to contribute with my skills and experience in data analysis and engineering to advance this mission.
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...
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Questions:
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### Participants
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- Dominik Niederberger #people/dominik_niederberger
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### Summary
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> [!important] Sensirion - 1
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> Please summarize the meeting here
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## Preparation
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### Questions
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- [ ]
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### Points to Discuss
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-
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## Meeting Minutes
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@@ -1,110 +0,0 @@
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---
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title: Vidit Update - 8.1.25
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created_date: 2025-01-08
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updated_date: 2025-01-08
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meeting_date:
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aliases:
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tags:
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type: habit
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status: not_started
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---
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# Vidit Update - 8.1.25
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- **🏷️Tags** : #01-2025 #habit
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---
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## Meeting Summary
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### Participants
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-
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### Summary
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> [!important] Vidit Update - 8.1.25
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> Please summarize the meeting here
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## Preparation
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### Questions
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- [ ]
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### Points to Discuss
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-
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## Meeting Minutes
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### General
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Questions
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-
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#### Todos
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- Testing documentation and planning
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- how heavy?
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- see solidworks which includes pcbs
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#### Notes
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Normal PCBs: 5
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Flex PCBs: 3
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LED Boards: 4 (2 hard lower bridge, 2 flex wingtip)
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--> 12 pcbs on board
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more boards planned:
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- optical flow sensor board ---> too expensive, size and additional microcontroller which we don't want.
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- garmin lidar light v3
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- pitot tube
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- payload box?
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- lidar sensor?
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- problem: holding it at a certain place: worm gear?
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### Wiring Harness
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- Teensy: on side, throughhole
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- Needs SD-card
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- IMU: off the shelf instead of mounted. onboard. connectors
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- uart and I2C are exposed for debugging
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- improved routing
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#### Todos
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- Change connectors
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- check teensy
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### Propulsion Harness
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- Shape changed
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- LEDs are integrated
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- angle sensor port has shifted upwards
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#### Todos
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- test connector with wiring harness
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### Rotor Head PCB
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- takes in 70V, converts to 8.4V
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- heating wire
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- rotorhead servo control
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- solder pads for brushes
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#### Todos
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- Current carrying capability 8.4V. find alternate solution
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#### Solderblob Bypass
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1. How hot would it get when carrying 5A without the blob?
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1. ![[Pasted image 20250108110043.png]]
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It would heat up 45° above environmental temperature.
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2. How often do we pull 5A? How well can the heat dissipation work?
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### Carrierboard
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- wiring harness connector
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- updated buck converter to work with battery voltage
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- new ethernet port
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- flarm connector
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- debugging:
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- gness uart exposed
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#### Todos:
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- test hailo and cameras and ethernet
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- compare ethernet performance between V2 and V1.2.
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### PDBs
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- challenge with UPDB: permenant configuration: golden file for BMS
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- 3.3V power line needed for configuration of the BMS
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- ringing and lagging in amplifier circuits
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- LPDB: remove IMUs
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### Parachute Board
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- still old.
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- heartbeat
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- wiring harness connection
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### Angle Sensor Board
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- 4 new boards with vidit
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### LED boards
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### Motor and ESCs
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- What ESCs are used?
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- What Motors are used?
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---
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@@ -1,88 +0,0 @@
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---
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title: Witty Machines - 1
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created_date: 2024-11-04
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updated_date: 2024-11-04
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meeting_date: 2024-11-04
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aliases:
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tags:
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type: habit
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status: not_started
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---
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# Witty Machines - 1
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- **🏷️Tags** : #11-2024 #habit
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---
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## Meeting Summary
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### Participants
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- Ken Blomqvist
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### Summary
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> [!important] Witty Machines - 1
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> Please summarize the meeting here
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## Preparation
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### Research
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#### Witty Machines
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- Building general manipulation systems
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- building general purpose, physically intelligent robots for fine-grained manual tasks in industrial environments
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- Food industry.
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**Johannes**: phd in control (robotic manipulation, mpc, mobile robots, collaboration, construction robots)
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**Ken**: phd in perception systems for mobile manipulation applications.
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### Questions
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About what company does?
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- [ ] software only, or hardware as well?
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- [ ] What are customers? You mentioned food industry
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- [ ] Consulting company or high growth startup?
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- [ ] MVP?
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- [ ] competitive advantage?
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- [ ] what's the biggest risk you face and how do you manage it?
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Role
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- [ ] What role are you hiring for? Is it just employee or co-founding?
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- [ ]
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Finance and Business
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- [ ] Founded April 2024 --> Whats the vision, whats the roadmap?
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- [ ] Where does funding come from? What is the plan with funding?
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- [ ] Whats the company's balance sheet like?
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### Points to Discuss
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-
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## Meeting Minutes
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Funding:
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- Illusion Finland
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- Seedcamp (convertible note)
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- Clearpath robotics: ryan
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Competitors:
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- [Ovo tech](https://egg-breakers.com/)
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- [MOBA | Egg grading and packing](https://www.moba.net/)
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Sales
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- goal is to sell 50-100 units in the next year (up to 20 per customer)
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Risk
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- hiring: he sees the biggest challenge in hiring right now.
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Tech
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- using cobots and off the shelf cameras
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- Mostly computer vision and steering
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- ros2, with control and planning pipeline. Currently no end-to-end learning solution because they want to ship fast.
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- problems
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- hand-eye coordination
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- camera calibration
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Roadmap
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- solve egg packaging problem, sell test iterate, niche market. Expand world wide.
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- Then find next niche and repeat.
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- eventually going into planting / harvesting
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He mentioned that the founders are not convinced that LLM like models for robots will exist anytime soon, which is why they think that problems need to be solved using unique solutions for niche problems by using more traditional approaches and only leveraging AI and Machine Learning for established subtasks.
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---
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## Reflection
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- Good answers to:
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- What is the most challenging problem you've solved at OneSec?
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- I need to reflect upon my time at OneSec: what are problems that I actually solved and where innovation happened?
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- Have a better story why I left OneSec --> don't bash on them
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- What are my strengths and my weaknesses? How would I contribute to Witty Machines?
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