Naik Labs
Projects, notes and experiments by Ashish Naik.
Markdown comment collaboration for Mindle, a quiet place to read Markdown.
A multi-agent property acquisition system.
A local-first meal planning app: build a weekly plan from your recipe library, then turn it into a consolidated, aisle-sorted grocery list.
Automation that finds every parkrun launching this weekend.
Home Assistant configuration, versioned and documented.
Mindle
Markdown comment collaboration for Mindle, a quiet place to read Markdown.
A native macOS e-reader for Markdown files, with highlighting, annotations and full GitHub Flavored Markdown support. Files open the way a book does: one column, no chrome, nothing to configure before reading.
Markdown lives in editors, and editors are built for writing rather than reading. Mindle exists to give long documents somewhere calm to be read.
Library
Reading view
Annotations
Puffer Properties
A multi-agent property acquisition system.
Puffer runs a multi-agent acquisition system. Every listing we consider is sifted, graded for condition, modelled for cost and yield, and given a verdict against fixed targets — before anyone looks at it.
Acquisition decisions stall on the same repeated analysis. Making the sift, the grade and the model automatic leaves only the judgement call.
Pipeline
Listing verdict
Yield model
Meal Planner
A local-first meal planning app: build a weekly plan from your recipe library, then turn it into a consolidated, aisle-sorted grocery list.
A local-first meal planning app. Build a weekly plan from your recipe library, then turn it into a consolidated, aisle-sorted grocery list.
Weekly planning is a chore with a fixed shape, which makes it a good thing to automate end to end.
Week view
Recipe intake
Shopping list
Inaugural Parkrun
Automation that finds every parkrun launching this weekend.
A simple automation capability identifying new parkruns being launched this weekend.
Inaugural events are announced in scattered places. One scheduled job collects them into a single answer.
Weekly digest
Source feed
HA House Bible
Home Assistant configuration, versioned and documented.
A backup and reference for a Home Assistant install — automations, dashboards and integrations kept under version control with the reasoning written down alongside.
Home automation config rots quietly. Writing it down makes the house recoverable.
Automations
Dashboard config
Ashish Naik
Director-level business development in accelerated computing, HPC and AI. Currently AWS's senior go-to-market specialist for accelerated computing across EMEA.
- Leads the EMEA go-to-market plan for accelerator-based workloads: AI infrastructure, generative AI, HPC, graphics and gaming.
- Works with customers on their hardest accelerated-computing problems, across NVIDIA GPUs, Inferentia, Trainium and FPGAs.
- Feeds customer insight and market signal back into AWS service and product teams.
- Led EMEA GTM strategy for emerging technologies in advanced computing and HPC.
- Drove initiatives in predictive modelling and simulation, spatial simulation, digital twins, and HPC/AI convergence.
- Secured lighthouse customers in new GTM areas and advised on where to invest or divest.
- Recruited and scaled a global team of quota-carrying business development specialists.
- Guided cross-functional ADAS/AD strategy and brought products to market organically, through M&A and through partnerships.
- Delivered 20% year-over-year revenue growth.
- Established partnerships with simulation vendors including Ansys and IPG Automotive.
- Progressed from applications engineering team lead through field sales to senior automotive business development.
- Focused on validation test, HIL, connected and autonomous vehicles, and electrification.
- Registered charity funding neo-natal equipment for special care baby units across the UK.
- Works with fellow trustees and the founder on fundraising and advocacy.
- Designed and delivered a high-voltage control system for trapping low-energy ions.
About
Naik Labs is where the side projects go. Most of them start as a repeated task worth automating and end as something small that runs on its own. A mixture of complete, single user, or in-progress tasks.
Every project here is built quickly and deliberately kept small. They were designed to automate or fix items in daily life, so we can spend more time on things that matter.