Entrepreneurial Geekiness

Ian is a London-based independent Chief Data Scientist who coaches teams, teaches and creates data products. More about Ian here.
Entrepreneurial Geekiness
Ian is a London-based independent Chief Data Scientist who coaches teams, teaches and creates data products.
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Round 4.1 Demo Morning at StartupChile

I’m sitting here in the Demo Morning for the newly arrived Round 4.1 (4.2 turns up in a few weeks). Here’s a list of the pitches with my (probably too) short descriptions. The Round 5 applications are open, I think applications close this weekend (there’s a long and recent discussion here about the pros and cons of the programme – read all the comments for a fair overview).

There’s far fewer travel/social networks than in our Round 2.1 (from 5 months back) and several are using new fangled high tech tools like face detection and data mining. These companies are looking stronger than those of earlier Rounds:

  • ComparaTeVe TV engagement and metrics
  • FoodKhoj group food ordering at universities (for wider choice and greater delivery distances)
  • AdviceMeCosmetics cosmetics recommendation site, has some nice face detection-based tools
  • GrindSmart mining technologies
  • OneSeed micro-finance for small scale entrepreneurship
  • Nowlr Web 2.0 trend spotting
  • Alodok doctor/patient network
  • FaceAlert Face detection tools for kids social networks with NLP for e.g. bullying detection
  • NetNUI target market analysis (surveys?)
  • BioParaiso bio-focused incubator based at Valparaiso
  • RetailPro business intelligence for Web2.0 companies (I think just web-based companies)
  • PhageTech microbiological control
  • Oja.la ‘the mercadolibre/ebay of education’ (Spanish)
  • Flipxing GMaps based barter network
  • TuCreaz  etsy-like hand made product site
  • Pllop.it an online presentation tool, turning into a goal/habbit setting app
  • BuscoTurno healthcare apointment booking system
  • OnLinner geolocalized games challenge
  • Alefant kids education site
  • Taumatropo not sure (kids education game maker?)
  • Minka not sure (upcycling and recycling fabric?)
  • TuCloset Chilean clothing sharing site for women
  • FlapShare not sure (crowdfunding?)

Ian is a Chief Interim Data Scientist via his Mor Consulting. Sign-up for Data Science tutorials in London and to hear about his data science thoughts and jobs. He lives in London, is walked by his high energy Springer Spaniel and is a consumer of fine coffees.
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Featured in BBC News

We’ve just had StrongSteam featured at the end of this BBC Tech article on foreign tech firms in the UK (noting that we’re a UK firm gone to foreign parts…) by Katia Moskvitch.

I’ll add a touch of context, I’m quoted as saying that I couldn’t raise funding for StrongSteam in the UK. This quote comes from a longer chat with Katia several months back about the state of funding in the UK, previously I’d looked for funding for seed-stage investments in other projects and found a lack of interest. For StrongSteam I hadn’t at that time looked for UK investment but I would expect the situation for a risky, early stage investment to be difficult (well, really very difficult).

In contrast I’ve had interest here in Chile from VCs and Angels and also offers of investment from Silicon Valley. Interestingly it didn’t take much work to get these intros and offers.

In response to the BBC articles I’ve been sent a link to Seedrs by Thomas Davies (Investment Director), they’re a UK based seed investment platform (a bit like Kickstarter-for-seed). They let folk invest in startups and help startups pitch for up to £150,000 seed investment. They’re launching Friday 6th July.


Ian is a Chief Interim Data Scientist via his Mor Consulting. Sign-up for Data Science tutorials in London and to hear about his data science thoughts and jobs. He lives in London, is walked by his high energy Springer Spaniel and is a consumer of fine coffees.
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Bloody awful air in Santiago (“killer air”?)

I’m a London boy. I grey up on clouds of smoke (albeit not Dickensian-smoke but still…much pollution). Having traveled parts of the world I haven’t often encountered really bad pollution. Santiago has reset my levels.

When running up San Cristobel (the big hill in the centre of Santiago) a few weeks back it was possible to climb above the pollution line and to look down on the smog. As of two days ago my entire run was done under the pollution line. Emily ran also, she had a sharp chest pain for 24 hours after (she’s already on 3 antihistamines a day to de-clog). You get to see the yellow smog all around as you walk at street level.

This report from last year was pretty alarming, being exposed to 5* the WHO’s ‘safe levels’ on a daily basis is somewhat crazy. The numbers this year are ‘better’ as we’re only being exposed to 4* the WHO’s ‘safe levels’ (‘safe’ as in – don’t be exposed above this for more than 24 hours…we get it day in, day out).

Thankfully it is raining today and this weather/pollution site is recording ‘good’ levels (though if the column on the right-side of the lefthand table corresponds to the levels in the other links…who knows what happens at “401-500=Peligroso” [Danger!]).

For the record today (during the rain which massively cleanses the air) El Bosque (near the airport & much of the industry) the level is recorded as 58, out in Las Condes (the nobby area) the recording is 37. I’ll see how that changes over the next week.

You can see at the top of the weather/pollution link under ‘restrictions’ that non-catalyst cars (“No catalíticos”) are being restricted, the number-plates change for tomorrow (“Mañana”). They’ve been restricting cars by segment for the last few weeks. I guess that means that they’re seen to be “doing something” (even though the larger polluters are probably big industry around the city).

In the meantime I look forward to leaving for Argentina in a week, they’ve at least got clean out air there.

Does anyone have links to good real-time pollution statistics here in Santiago? Perhaps recorded back for several years, perhaps also recorded by area?

Update – more links:


Ian is a Chief Interim Data Scientist via his Mor Consulting. Sign-up for Data Science tutorials in London and to hear about his data science thoughts and jobs. He lives in London, is walked by his high energy Springer Spaniel and is a consumer of fine coffees.
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Lean Processes in StartupChile (short talk this morning)

I gave a short talk this morning with Ryan Lou on the Lean Processes that a startup can use. For me I looked back on the start of ShowMeDo in 2005 (and now) and how we iterated using email, google groups, surveys and lots of discovery by talking to users.

I then looked at how I wrote The Screencasting Handbook by putting up a landing page with a prototype chapter list followed by building an email list with mailchimp, surveying several times with surveymonkey and launching early with free and then discounted drafts which validated purchasing intent. Generally I host everything with WebFaction (they have auto-installers and simple SSH access, great for Python/Ruby/PHP etc).

Finally I spoke about our various ways of understanding user needs for our latest StrongSteam, particularly this time by focusing on Getting Out of the Building (lean startup parlance!) by heading to Silicon Valley and Vancouver over the last couple of weeks to actually meet potential clients, to talk through their needs.

Finally I gave some tips:

  • Get involved in a mentorship group, here’s my guide to starting one
  • Read Running Lean (well, read at least one of these 4 books if you’re unfamiliar with the area!)
  • Read Nail It Then Scale It
  • Read Pretotyping
  • Read the Startup Owners Manual
  • Keep working to minimise your uncertainly with the minimum amount of work (e.g. what can you do with 1 day of work to learn useful results, rather than months of coding?) – landing pages, surveys, talking to users etc are great ways to figure out why people might pay you for your offering
  • Keep learning, keep talking to users, keep figuring out what they’ll pay for (be it with cash or with attention)
  • Keep On Learning As Cheaply & Quickly As Possible

Ian is a Chief Interim Data Scientist via his Mor Consulting. Sign-up for Data Science tutorials in London and to hear about his data science thoughts and jobs. He lives in London, is walked by his high energy Springer Spaniel and is a consumer of fine coffees.
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Mentorship groups in StartupChile

A group of us have been running a mentorship group here in StartupChile, it makes up for the lack of external mentorship (a sad deficiency in the programme). I think that more startups ought to be in mentorship groups so I’ll write about what we do.

What is it? A group of 6 of us meet once a week (10am, local Starbucks) for about 1.5 hours, we cover how our companies have progressed since the last meet, discuss problems and set new goals. We’re accountable to each other and know that our peers are smart enough to call us out if we’re fibbing.

Early goals? Emily and I used to be a part of a similar group back in the UK – having peers who’d hold us accountable was super-useful whilst we figured out which things were hard (which typically we might try to ignore) and worked through to solutions. We missed that structure here in StartupChile so we built our own.

Outcomes? We’ve witnessed one company choose to fold and reinvent itself, another start to question its market, another to collapse the bigger ambitions and to take on a more manageable sub-task during Year 1 and for me I’d realised my earlier Customer Discovery process was weak (which I’m now addressing lest I get a drubbing from my peers). These changes occurred in the last couple of weeks (all pretty dramatic and darned sensible). We’ve been running for 7 or so weeks and we’ll continue for as long as we’re still resident here – the meetings carry great value for all in attendance.

Structure? Each person gets 5 minutes (timed on a phone with a loud audio alert) to talk through their progress in the last week and to mention where they’re at with last week’s goals. Once we’ve done everyone (30 minutes) we move on to problems, we share questions and issues and ask for feedback. This is meant to last for 5 minutes (we use the countdown alert again) but if the problem is interesting then we’ll run on (maybe to 10 minutes), often a lot of learning can occur as we try to solve each other’s problems. Finally we set a new goal for next week, we run through the group setting one or two achievable goals. Mine for next week is to have a better grasp of the competitive landscape in the run up to StartupChile’s Demo Day.

Typically we run for 1-1.5 hours. Someone (normally me) has to be the Chairman to make sure things keep moving. You need firm Chairman lest one or two people take over the meeting and turn it into a bore.

How to start one? Find 3-6 other companies who are roughly at the same stage and doing related things (e.g. companies doing early stage hardware, public software and r&d around baby-care might mix but companies doing only web-related stuff at an alpha/beta stage are probably a better match). Agree to meet each week at a set time. Agree on a Chairman. Agree to Chatham House Rules (“what is said in the room stays in the room”) and let people state when things have to be kept completely private within the group.

After the first few meetings fix the group (anyone who rarely attends gets kicked) so the group can trust whoever is present and not expect the surprise of new people. If the group loses people over time (we’ve lost a couple due to the natural evolution of startups) then invite a few others in with consent from the group. Keep meeting. Keep pushing each other to make smarter decisions. Don’t hold off of the hard questions. Make yourself accountable.

The main goal is to build a team that’s stronger than the sum of its parts. Working in isolation means you get to avoid the hard questions and perhaps avoid taking account of your progress – there’s nowhere to hide when your peers are waiting for your weekly progress report.

A similar goal seems to be behind the new NReduce startup collaboration project and the weekly dinners at YCombinator are well known. Being accountable to your peers works.


Ian is a Chief Interim Data Scientist via his Mor Consulting. Sign-up for Data Science tutorials in London and to hear about his data science thoughts and jobs. He lives in London, is walked by his high energy Springer Spaniel and is a consumer of fine coffees.
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