Dual Restaurant Menus

Every restaurant, individual or chain, should have the right to offer a printed menu in whichever style suits them.

But standards are also good, like calorie counts on menu items, and whether they are vegan (or whatever) or not, or allergy info.

So have both. At the restaurant entrance have available a standardised, generic looking menu that tells people who care, everything they need to know. Plus QR codes that provide versions for people with vision problems.

Most people will ignore them, but for those who need such info, it would be very welcomed.

Everything, Everywhere – Better than Google (concept)

Google’s mission statement is this:

Google’s mission statement is to organise the world’s information and make it universally accessible and useful.

I would argue they could try harder, but they have a fundamental issue – they aren’t very likeable or trustworthy.

Google is the dominant search engine, and it has achieved that primarily due to four fundamentals:

  • The Internet is free to navigate
  • Use bots to index all of it
  • Analyse the content of each website
  • Decide which information is more important, by who links to what

All of this is done without permission, just like you and I can visit most websites without permission. An alien race with an Internet connection could create a Google, and we would never know (aside from their strange IP address…)

But what if Google had permission, had agreements, to delve deeper. It hasn’t of course, so lets consider a Google-killer called The All.

No, scary. We will call it TheOmni.xyz (Omni for short)

So which extra data points and sources could be included, by being inclusive, and not a “don’t do evil” loner?

Wikipedia says The deep web, invisible web, or hidden web are parts of the World Wide Web whose contents are not indexed by standard web search-engines.

That means sites that you need to be logged into to find content that otherwise is not visible. Google doesn’t access that, which makes their mission statement seem a bit weak, after 22 years of existence…

Some such sites might embrace the idea of making their information accessible in exchange for being part of bringing down Google…

Now, don’t misunderstand, this is not about making silly memes rise to the top of the search results, BUT some walled info could make a for a better search engine, if done intelligently.

For example, discussions in local community groups on FB, arguments between verified academics in Twitter (if that was a thing…)

New, different data points could be harvested from so many places if permission was granted:

  • Amazon “you might also like this”
  • Most read stories in a newspaper
  • Scholarly articles
  • Broker recommendations
  • Social media, of course
  • The Wayback Machine
  • Platforms like WordPress and Shopify could provide visitor data

While they may offer unlimited indexing access to Omni, the results would likely be partial in nature. A smart enough system could provide an intermediary page that has a succinct answer, but you need to join/pay to see the full information.

Here’s a good example. Instead of Google finally starting to try and group the same news stories and indicate which came first, by analysis… Omni can simply get such data from the news services. The indexed version of the page would have data only Omni can see, like where they sourced their story from.

Trusted providers could provide an honest date of publication, instead of Google trying to work it out.

The revenue model might not be too difficult. Omni coves all the general web indexing (same as Google) and gets half the revenue. All the other data providers get a share based on how many data points they provide that lead to search result.

The starting point is not difficult either – news. There has already been a lot of problems with Google “stealing” news and working out compensation. Why doesn’t every legitimate news service (must have some original, actual reporting, as judged by humans) band together and produce a news search engine, and block Google?

They are already quite incestuous anyway, reporting on what their competitors reported… syndicating. Maybe formalise it more.

From there they branch out into academia, which is kinda similar – rivalry but the shared goals.

Then get the Socials to share data on how the news service’s own stories perform (shares, likes).

And it keeps expanding, via trust and mutual benefit, until Google is no more!

Weekend Employment Agencies

Most people work 9-5.
Employment agencies are open 9-5.

Makes it hard to go for job interviews.

Surely an agency can take the lead on this, and save people the embarrassment of work colleagues saying “nice suit, job interview at lunchtime?”

Not rocket science.

While we are at it, be that bank that is open on Saturday mornings, or until 7pm on a Thursday.

Spotify: A Better Model

What I miss is owning an album.

To be able to say I have all their albums.

The choosing which albums to buy, the deciding.

Spotify lets you have everything, at an insanely cheap price. For half what you used to spend on a CD you get virtually all music ever made that is worth a listen, each month.

And that means that your meagre subscription gets split amongst a lot of artists, after Spotify’s cut.

If Spotify doubled the subscription cost, and doubled the royalties, most artists would still feel ripped off.

So we need a better way, perhaps one that focusses on who your favourites are?

Current albums: Each month, on the first, you get to choose up to 5 albums as your current favourites. These are the only albums you can play more than twice, as albums, in that month. You can choose less than 5 and add others during the month

Why it works? You have anticipation and preparation for the new month. You get to share and compare your choices. And it is liking owning in the old days.

Lifetime fan: For a one-off fee, dictated by the artist, you get to listen to all of their music, and all of their future music, outside of any other limits.

Why it works? Fans can get exclusive perks. And you can call yourself a real fan.

Free albums: Any artist can have their albums provided for free, without royalties. These are outside of any limits as well.

Why it works? If you are not popular, letting people listen repeatedly and share with others can help launch you. Better than few plays and a tiny income.

Singles: Singles are free to listen to repeatedly, but only until they are available on an album. Then, once they are on an album, there are monthly limits, like maybe 10 plays.

Why it works? It is more like the radio used to be. Hear the single for free, buy the album.

Everything else: The same as the current Spotify model. Except you can’t listen to the same albums repeatedly. Or singles that are on albums repeatedly.

How does this work financially?

Minor artists get more plays if they choose the free option – because people will be less likely to play the major artists repeatedly.

All artists, big or small, have the ability to get a cash injection from signing up lifetime fans.

Major artists (who arguably make lots of money other ways, like tours) make less – increasing equality.

Subscribers get a more engaging experience.

Limit the Size of Social Networks

Wearing my other hat I am a big advocate of customer-owned businesses over at Unism

Facebook has done studies asking users if they would pay for an ad free service.

Globally Facebook makes less that $10 per user annually. So I expect they would charge the same or less as streaming services like Spotify. I think a large percentage of users are so hooked they would happily pay…

…So when we say no social network can have more than 30% of the population as users, the only way they (FB) can limit the numbers is by increasing the cost of participating.

Such a rule will decrease the power the social networks have over free speech, increase competition, make people feel more proud of how they made a choice, and increase the chances of customer-owned services.

NEGATIVE: It will become unlikely that everyone you wish to socialise with online are on the same platform.

BUT: There is nothing stopping a service existing that can control all of your social networks and contacts and aggregate everything. And then we become more service agnostic.

AI can now rule the world

I have often wondered about how Artificial Intelligence can be its own person, with money and control, a very scary proposition.

The problem is that ownership can only be assigned to people. Yes, a business or trust can own something, but neither can exist without people controlling them.

But now… Australia has decided that AI can own a patent. That means that AI can get an income, on its own. I can see future court cases arguing that if an AI can receive an income, it must be able to open a bank account, own property and so on.

Robot overlords are not far away.

(Note, a US court said no to an AI system owning a patent)

UPDATE: Ruling overturned in Australia, so currently nowhere lets this happen. In South Africa AI has been provisionally approved… but that just means they haven’t really looked at it yet.

Licensed Marketing

For local businesses (restaurant, hairdressers etc) the exact same (winning) marketing can be used in different countries to make it more affordable.

So, in 200+ countries you can have a hairdresser called Knot Just Hair or Head Office. Each can use the exact same:

  • logo
  • ad copy
  • social and search marketing
  • video

One really good agency creates the above, and 200 salons split the cost. The agency gets 5x the income, and the salons get it for 2.5% of the normal cost.

Because the work is brilliant, the salons that expand (they are unlikely to want to go international) will pay on a per location basis, at a discount.

 

Receptionist / Security Guard

Problems to solve:

  • Security is expensive
  • Many receptionists are bored
  • Security guards gets bored

Solution – for video security:

Bored people, like some receptionists, or someone on the train, get to watch security cameras for a short time, say 30 seconds on average, but you never know how long.

There are buttons they can push at the end of the viewing – nothing happened, maybe suspicious or alert. You have just a moment to click on one, it proves you were paying attention.

The same security feed gets seen by multiple people, and if two or more click an alert button, it is considered genuine.

In-between videos there are tasks to perform like Mechanical Turk. That keeps people awake and focussed.

Paid by the minute. Stop start whenever you want.

Free Help You Buy

This is a variation on an idea I once presented to the CEO of Dell Computers, twice.

Scenario – you want a iPhone 7 cover with purple flowers, delivered within a week.

You – search for 10 minutes, get frustrated, give up.

We – search on your behalf, provide recommendations, no charge.

Business model

We provide the best solution, not the best price.

We provide links to preferred suppliers.

There is no obligation to buy – you can look elsewhere for the same product.

We receive commissions from businesses that offer commissions. This influences where we recommend you buy from, but not the product/solution we recommend.

We are upfront about out business model.

We publish the ratio of solutions we do not benefit from.

Employees are global, cheap, and paid per solution, with a share of any commissions.

Advantages

First mover advantage.

Scales well – all solutions stored in a database, to make it easier next time.

Solutions can be published online.

Because we cater for all categories, we can bid (Google Ads) on only high intent keywords, like +buy+ delivery

 

 

 

Specialised Business Clusters Post-COVID

We already have clusters of like-minded businesses, but most of them are just tech, following the lead of Silicon Valley.

The trend recently is for smaller cities to get more start-ups, due to lower costs and perhaps local government incentives.

COVID-19 will mean less business travel, because of the prolonged nature of the pandemic forcing us to get used to connecting remotely.

At the same time, people are using Uber/bikes/scooters more than ever before, but not to the other end of a city.

We will still want face-to-face meetings, we just won’t put as much effort into the travel as we used to.

Prediction: like-minded industries, and subsets of those industries, will over the next 10 years congregate in suburbs of specific cities. Imagine half of a country’s FinTech businesses not only being in the same city, but the same suburb.

  • Easier to change who you work for – interviews, no need to move home, already socialise with them
  • Socialising (or living) with people in your industry
  • Industry-specific co-working spaces
  • Scale efficiency for supporting businesses
  • Industry-specific training and schools