parth retweeted
why do we “fix” footpaths that go viral and not the ones that are broken?
10 months ago, double road indiranagar got "fixed”. it has become deadly again. just 850 m of footpath has 21 serious problems.
so yesterday i recorded both sides. ran it through our footpath model: here’s what came out: (full walk link in comments)
> every spot that needs fixing, geotagged with a 360° view
> who's responsible for each one: name, department, contact number (call them)
imagine if every footpath in the city is recorded twice a month (more on this soon). GBA finds the problems instead of waiting for complaints.
walking the double road footpath again this sunday to check what gets fixed.
@GBA_office @caleb_friesen
parth retweeted
this is a good moment to launch iknowaguy.help/bangalore/. now everyone is just a call away. i’ve already gotten two spots from the video fixed and cleared by just one phone call. before and after images below.
most of us never try but the numbers for engineers, marshals, inspectors and elected officials are public. they're just scattered across a dozen websites. so you end up calling a generic helpline, get passed from person to person, and give up.
i called mr. vijay, our area inspector. he was on site within 30 minutes and we walked all of 12th main together. we are working through every spot from caleb's video over the next 2–3 days. im going to fix everything shown in the video with BBMP. more updates soon.
So @GoogleIndia has been confidently running ads on how you can detect scams using their AI.
Gave it a spin on an innocuous but fake Thomas Tuchel quote that's gone viral.
Confidently said it's true.
Confidently stated sources (that didn't contain the quote).
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Yeah, AI is cool and all. But surely marketing should be more responsible?
Chat link: share.google/aimode/rfHoH8U3…
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parth retweeted
5 kittens up for adoption. 4 of them are males and there is one ginger female. DM if you are interested in adopting
Exciting development for Bangalore air travellers.
Major international cities all have secondary airports — London has 5+ airports — which provide more options to travellers and open up business models for low-cost airlines.
Just-in: Tamil Nadu CM Stalin announces international airport in Hosur
moneycontrol.com/technology/…
AI summarizers of articles/podcasts seem to generate the most bland, generic and useless shit.
I read/listen to something for the unique, nuanced bits that aren't there in other articles. That usually means skipping multiple paragraphs while also highlighting entire others.
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parth retweeted
As I interact regularly with founders and CMOs of many new age brands, one aspect where I find many marketing teams lacking is on the quality of research done to arrive at product development/creative development/packaging development etc. And because of this, many founders end up believing that research does not work/research is not needed
A very common mistake I have seen people commit is to use qualitative and quantitative research for the exactly opposite reasons and that stems from not understanding the difference between the two and when to use what
If I were to summarize in a sentence, “Qualitative research is done to build hypothesis, quantitative research is done to confirm/reject the hypothesis”
The objective of qual is to examine and explore issues. The objective of quant is to explain, confirm or predict something through statistically proven measures of validation
The small size of qual is small, purposeful and can never be representative of your total consumer base. In quant, the sample size has to be large, representative of your target consumer base, and comprehensive enough to meet statistical accuracy standards
Qual often unearths perceptions via non direct interviewing (needs a lot of practice and experience ) and draws inferences from observations. It is an unstructured and interactive process. Quant on the other hand is explicit and same questions are asked in a same sequence to a statistically significant sample size
What many startup marketing teams does (mostly because there is no CMI and no one who experienced how research is done ) is exactly the opposite. They will end up trying to do find a representative set of consumers for qual. They often end up asking explicit and same questions in same sequence to the qual respondents. And believe it or not, also sometimes end up with conclusions (“50% of consumers said this”- after speaking to 25 consumers through depth interviews)
And naturally this leads to pooroutcomes. And because research is expensive, teams give up on research.
So, next time onwards, use qual to explore issues in depth and build hypotheses. Qual seldom leads to closure and often leads to a quant to complete the investigation. And use quant to validate them, build confidence and move to execution
Updated rain in my area within 2 mins!
Nice to see Indian companies working on large-scale infra projects and open sourcing them 👏🏽
Excited to unveil India's first crowd-supported weather infrastructure, weatherunion.com. A proprietary network of 650+ on-ground weather stations, it is the largest private infrastructure of its kind in our country.
These weather stations, developed by Zomato, provide localised, real-time information on key weather parameters such as temperature, humidity, wind speed, rainfall etc. Currently available across 45 large cities, we are expanding this in other Indian cities very soon.
This rich data holds significant potential in unlocking weather use cases for enterprises and research institutes. Having already collaborated with CAS - IIT Delhi, we expect more institutions and companies to benefit from this and contribute towards the greater good of our economy.
At Zomato, it was crucial for us to have access to precise and real-time weather information to make the right business decisions to serve our customers better. Hence, we took it upon ourselves to develop a solution capable of empowering us on this front.
We are now opening up free access to this (through an API) to all institutions and companies in the country. Wait. What? Free? Really? Yes, we believe that this data is too valuable to keep to ourselves or to monetise; therefore, as a Zomato Giveback, we are opening up access to this data to everyone for public good. Multiple companies and public institutions should use real-time weather data, to boost the productivity of our economy.
Also, a lot of Zomato employees have hosted weather stations at their homes. As we look forward to further expanding this infrastructure, we welcome volunteers who want to provide us space on their premises to install these weather stations and contribute to nation building.
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parth retweeted
I had registered my non-profit organisation with NGO Darpan on 8 April. I have yet to receive approval. There is no response to any email and all the phone numbers on the official website are also invalid.
Can you please help out with this @NITIAayog @suman_bery
parth retweeted
paul g really said hasde chereya da matlab eh nahi hunda ki ohnu ki takleef nahi hundi, ohda matlab eh hunda ki unha takleefan de naal deal karna ohnda
Anyone else feel a little underwhelmed by Figma's typography and gradient variables?
I was kinda expecting them to completely replace Styles and launch composite variables. Managing both feels hack-ish.
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Overall, Figma's execution of variables has left me a little wanting. It has little/no shortcuts, feels tedious and clunky — almost like a plugin. Far cry from their usual slick execution which makes things feel obvious.
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parth retweeted
Traditional input methods work because they're being used to choose from an array of options you can see:
Mouse = aim at features on screen
Keyboard = choose from available keys
Voice is seemingly unbounded (say whatever you want!) but functionally restricted by (1) what spoken words the input system can understand and (2) what the underlying feature set supports.
Both of those limitations are unknown to the user as they speak, and a mismatch between what a user expects and what actually happens is known as a gulf.
Voice interfaces suffer from a "gulf of evaluation" and a "gulf of execution" and this problem is so well-known that those terms were first coined in 1986 in the book User Centered System Design by Don Norman and Stephen Draper.
Every time you say something to a Voice interface and it doesn't understand what you said (or heard you say something you didn't say) it causes immense user frustration and erodes trust between the user and the system they're trying to control. And if it heard you correctly but can't execute your command, it causes users to reconsider their perception of how sophisticated the system is. Both scenarios are bad.
Voice input can only work well when (1) the system always hears and understands what you said and (2) whatever command you say can be executed the way you intended. We are getting closer on both of those problems but still many years away.
parth retweeted
Literally everyone I talk to in the product/marketing world talks of “lots of workload during IPL” and sometimes I literally ask back “we are streaming it so I understand for myself but what on earth do you do for IPL” and I keep getting surprised at the replies.
Almost everyone runs some campaign or other every day during IPL. Most products have tie ins with IPL or team franchises which need specific product use cases built or at least lead to uptick in volume that needs handling from tech. Swiggy, Zomato, Zepto, Blinkit everyone has some IPL game running on their platform. Lots of merch gets sold and the related e-commerce industry gets a boost.
Just unimaginable how big a dent in the economy IPL makes from not just directly ticket sales and streaming rights but also the second, third, fourth order effects.
Growing up, before IPL was invented, always felt a bit unconvinced that why Super Bowl is such a big deal in US (like FMCGs literally launch their star products with Super Bowl campaigns and Super Bowl needs you to make an exclusive ad for it)
It all makes sense now.