Wednesday, August 31, 2016

Analizations help when it comes to making great real-estate deals

"Mashvisor provides real estate analytics and predictive analytics for investment properties.
You can find the average rental income and cash on cash return in each neighborhood. Part of the data is comparative which means it's based on what other existing properties are making in revenue and how their revenue correlates to the property type.
You'll be able to see the predicted cash flow, cash on cash return, income, expenses, etc. for each listing.
1. Search a Location
If you have a location in mind, search it on Mashvisor by city or neighborhood. You’ll be able to see how many listings are in a neighborhood. If you’re not sure which neighborhood to start viewing, look at the Mashmeter score, which is based on quantitative and qualitative analysis and some Mashvisor science. Click on a neighborhood and begin exploring listings.
2. Pick a Neighborhood and View Listings
The listings that appear give you an immediate comparison between the traditional strategy and Airbnbstrategy by calculating the cash on cash (CoC) return and cap rate, so you can determine which strategy is better for that particular listing.
When looking at listings, there are several filters to fine-tune your search. You can play with the mortgage calculator by changing down payment, loan type, and interest rate. Specify the search by selecting aimed CoC return, cap rate, budget, neighborhood, property type details,
3. Click Listing and View Rental Report
In order to understand the investment market in a neighborhood and the potential of existing investment properties, Mashvisor provides data about real existing properties. View traditional and Airbnb properties and their bookings, reviews, descriptions, features, prices, occupancy rates, and more. By looking at this comparative data, you’re understanding what kind of property perform the best and what to focus on when on aproperty search.
If you want to maximize your Airbnb property’s occupancy rates, you can identify the factors needed to do that. The occupancy insights provide the top factors that increase rates, based on number of bedrooms and reviews. Furthermore, it reveals the seasonality trend. If summer is peak-season while other seasons are almost non-existent, an investor might need to consider another location. You can filter average monthly occupancy by occupancy rate goal, property type, or number of bedrooms.
4. The Interactive Investment Analysis
Each report has cost projections which you can make specific to you by entering your own assumptions into the investment property calculator . Play with different costs to get better ideas of cash flow. The analysis takes into account startup costs, monthly costs, and turnover costs to get revenue assumptions.
Once you have entered your cost assumptions, a month by month breakdown of your expenses will be generated automatically. This eliminates the need to create your own spreadsheet. This not only helps prepare for your monthly budget, but estimates the timeline of the return on the investment.
5. Your Optimal Property
Based on the analysis of the neighborhood and property performances, the optimal property type and rental strategy are reported. The property type, number of bedrooms, and rental strategy appear as a summary as your best advised investment strategy. Take a look at the example below. This means a 2-bedroom flat listed on Airbnb in the listed neighborhood will provide the highest returns."

#realestate
#renters
#apartments
#roommates
#dorms
#college
#property
#buyinghomes
#airbnb
#mashvisor

Track and analyse to help with real-estate predictions

Mashvisor provides real estate analytics and predictive analytics for investment properties.
You can find the average rental income and cash on cash return in each neighborhood. Part of the data is comparative which means it's based on what other existing properties are making in revenue and how their revenue correlates to the property type.
You'll be able to see the predicted cash flow, cash on cash return, income, expenses, etc. for each listing.
1. Search a Location
If you have a location in mind, search it on Mashvisor by city or neighborhood. You’ll be able to see how many listings are in a neighborhood. If you’re not sure which neighborhood to start viewing, look at the Mashmeter score, which is based on quantitative and qualitative analysis and some Mashvisor science. Click on a neighborhood and begin exploring listings.
2. Pick a Neighborhood and View Listings
The listings that appear give you an immediate comparison between the traditional strategy and Airbnbstrategy by calculating the cash on cash (CoC) return and cap rate, so you can determine which strategy is better for that particular listing.
When looking at listings, there are several filters to fine-tune your search. You can play with the mortgage calculator by changing down payment, loan type, and interest rate. Specify the search by selecting aimed CoC return, cap rate, budget, neighborhood, property type details,
3. Click Listing and View Rental Report
In order to understand the investment market in a neighborhood and the potential of existing investment properties, Mashvisor provides data about real existing properties. View traditional and Airbnb properties and their bookings, reviews, descriptions, features, prices, occupancy rates, and more. By looking at this comparative data, you’re understanding what kind of property perform the best and what to focus on when on aproperty search.
If you want to maximize your Airbnb property’s occupancy rates, you can identify the factors needed to do that. The occupancy insights provide the top factors that increase rates, based on number of bedrooms and reviews. Furthermore, it reveals the seasonality trend. If summer is peak-season while other seasons are almost non-existent, an investor might need to consider another location. You can filter average monthly occupancy by occupancy rate goal, property type, or number of bedrooms.
4. The Interactive Investment Analysis
Each report has cost projections which you can make specific to you by entering your own assumptions into the investment property calculator . Play with different costs to get better ideas of cash flow. The analysis takes into account startup costs, monthly costs, and turnover costs to get revenue assumptions.
Once you have entered your cost assumptions, a month by month breakdown of your expenses will be generated automatically. This eliminates the need to create your own spreadsheet. This not only helps prepare for your monthly budget, but estimates the timeline of the return on the investment.
5. Your Optimal Property
Based on the analysis of the neighborhood and property performances, the optimal property type and rental strategy are reported. The property type, number of bedrooms, and rental strategy appear as a summary as your best advised investment strategy. Take a look at the example below. This means a 2-bedroom flat listed on Airbnb in the listed neighborhood will provide the highest returns."

Real-estate in the San Francisco market is costing home buyers a lot

San Francisco City and HomesShutterstock / prochasson frederic
If you're at all attuned to America's real estate market, you've heard about San Francisco's ongoing housing crisis.
Residents have been doing crazy things to survive the sky-high cost of living, from camping out in Google's parking lot to taking up residence on a sailboat
But according to a recent report by online real-estate broker Trulia, the story is slightly different for San Francisco's longtime homeowners, who are enjoying incredibly high rates-of-return on their homes.
In 1986, America's most expensive housing market was San Francisco, where the median value of a home was $160,955. Today, it remains the country's most expensive housing market, with a median home value of $1,058,474. That's a 557% rise over 30 years, more than any other US metro area.
To get an idea of how remarkable San Francisco's housing market is, check out the graphic below comparing San Francisco's 30-year increase in home value to the 10 major US cities with the smallest increase in home value over the same period.
Trulia San Francisco housing market graphic"

Real-estate Greatness

Compass, the real-estate startup trying to use tech to shake up the industry, has raised $75 million in fresh funding, bringing its total to $210 million.
The round, which was led by Wellington Management Company LLP, values the company at over $1 billion, according to a person familiar with the raise. A report last month from The Real Deal said Compass was seeking a valuation of between $1.2 billion and $1.3 billion.
While Compass functions like a traditional broker, the company's promise is using technology to reduce the time and friction of buying and selling a house or apartment.
Pushing toward this, last month Compass released an app designed to replace "stale" quarterly market reports with more dynamic information. In the app, buyers and sellers can search by standard things like neighborhood, number of bedrooms, price range, and so on. But they can also look at more advanced metrics, like year-over-year analysis of median price per square foot, days on the market, and negotiability.
This app complements Compass' established agent-only app, which is what first impressed Todd Chaffee, a general partner at Institutional Venture Partners, about the company, he told Business Insider last year when discussing his firm's investment in Compass. IVP also participated in the current round of funding.Compass has expanded rapidly since it branched out of New York in September. It now has a presence in Washington, DC; Miami; Boston; the Hamptons; Cambridge, Massachusetts; Beverly Hills, California; Malibu, California; Pasadena, California; Santa Barbara, California; and Aspen, Colorado.
It represents about $7 billion in annual sales, according to the company.
But doubts have lingered in the industry about how much Compass is actually using tech to elevate itself beyond a traditional broker, according to The Real Deal. However, sources in that report speculated that Compass would have trouble raising $50 million, when in fact the startup was able to snag $75 million and up its valuation.
"‪I like the founders, and I'm impressed with their progress," Salesforce CEO Marc Benioff, a Compass investor, told The Real Deal last month.
Compass has over 900 agents and almost 300 employees."

Tuesday, August 30, 2016

Olympic venues old and newer

The Olympic Games plant seeds of innovation all around the world.
Some of the most architecturally stunning stadiums and sports venues in existence came to be because the Olympics were coming to town. In Beijing, China, the Bird's Nest dazzled spectators with its intricate latticework and lights. The London Shooting Venue looks straight out of a Dr. Seuss book.
Here are 13 venues built for the Olympic Games that have made a lasting impact on athletic architecture."







Uber loses money in a big way!

Uber lost at least $1.27 billion in the first half of 2016, according to Bloomberg's Eric Newcomer, who cites people familiar with the matter.
Bloomberg reports that Uber held a conference call with investors Friday, led by finance head Gautam Gupta, to discuss Uber's financial situation.
In the first quarter of 2016, Uber lost $520 million ("before interest, taxes, depreciation and amortization"). In the second quarter, the situation worsened, and Uber's losses topped $750 million. That means Uber's total losses are at least $1.27 billion for the first half of the year.
While these losses are staggering, they are mostly consistent with previous reports. Uber lostclose to $1 billion in the first half of 2015.
The losses may stem from a variety of sources, including driver subsidies, Bloomberg reports.But a person familiar with the matter told Business Insider that the lion's share of Uber's losses stemmed from the company's expensive and protracted battle with Didi Chuxing in China, where the company was losing $1 billion a year trying to beat its local rival. Uber China merged with Didi earlier this month in a $35 billion deal, so Uber won't see those losses on its books moving forward, the person said.
Uber has also been sparring with Lyft here in the US, with both companies offering low prices and subsidies to entice riders. Lyft, which operates in the US only, posted an operating loss of $360 million in 2015. Uber and Lyft have both ramped up spending on driver and rider incentives, the person said.
In April, Uber claimed it had reached profitability in the US and Canada. Bloomberg reportedat the time that Uber's profit per ride in the US was at $0.19. This isn't the case anymore, according to Bloomberg, which says Gupta told investors that Uber lost money in the US in Q2.
Uber's revenue grew 18% from the first quarter to the second quarter, or from about $960 million to about $1.1 billion, Bloomberg reports. During the same period in 2015, Uber's net revenue grew from $287.3 million to $375.9 million."

Monday, August 29, 2016

Automated Car

" Tesla autopilot Tesla Tesla's fully autonomous cars will be here before you know it. During an earnings conference call on Wednesday, CEO Elon Musk was asked about Tesla's timeline for fully autonomous vehicles. Musk declined to comment on any product announcements, but did say that Tesla's self-driving cars will be here soon and they won't disappoint. "Autonomy is going to come a hell of a lot faster than anyone thinks it will, and I think what we’ve got under development is going to blow people’s minds. It blows my mind," he said. It's worth noting that last September Musk said Tesla's fully autonomous cars will likely be ready by 2018. However, he also said that the time that government rules regulating self-driving cars will likely not be put in place by then, so Tesla's self-driving vehicles will roll out in some places at different times. Last month, Musk shared the second part of Tesla's master plan, which entails a strong focus on autonomy. In the near-term, the company aims to make Autopilot, its semi-autonomous system, 10 times safer than the average US vehicle. But once regulators have laws in place that govern self-driving cars across the country, Tesla plans to roll out an autonomous car-sharing service as well. The concept is simple: Tesla owners will be able to add their car to a shared fleet of Tesla vehicles whenever they want so that they can make money off their vehicle. Major automakers and tech companies — including Google, BMW, Mercedes-Benz, and reportedly Apple — are all currently working on autonomous driving technology. However, like Tesla, many car makers are first rolling out Autopilot-like functions into their newer cars, which enable the vehicle to do things like autonomously drive on the highway and self-park."

#technology
#automakers
#telsa
#chrysler
#volkswagom
#generalmotors
#ford
#bmw
#toyota
#audi
#volvo
#chevrolet
#benz
#musk

Program Write-up!

"Right now every core has a register, typically called the PC for programmer counter, and that register determines where the next location in memory will be interpreted as an instruction. Right now it is a register that can only be written directly too using one instruction, and branch always instruction and as an absolute mode instruction the value to write to the register is is part of the program. Other instructions can modify this register indirectly such as by adding a certain value to the current PC, or writing the current to the top of the stack and replacing it with another, but it is very difficult for a program to change this value from outside the program.
One method is the return from subroutine” which places the value on top of the system stack into the PC, thus returning from a previous “jump to subroutine”. If can be very difficult to get the program to change this value to something other than what was intended in the program (stack smashing).
WRITEUP
One of the reasons this register is carefully guarded is because it involves security of the system. If this value were easy to change, say another program in running in the computer, then it could be made to run any code at all and that would mean not only the security of the system was in jeopardy but the integrity since not all of memory is stored instructions. Suppose there was a location in memory you could write a value to that would be moved into the PC within the next second? That would mean that code on the system could call other code on the system simply by writing to memory. Or even self modifying code that change the value on the fly to call different routines at the end of the same entry point.
This latter feature, or something built into the CPU itself, would allow a computer to program itself, either by modifying its own code or writing code into memory and them doing a “jump to address” by directly changing the PC. If you did that computers will do exactly what they will do long before 25 years and simply write code themselves, whether for their purposes or ours. Maybe even if they don’t have such a mechanism, maybe they’ll figure it out on their own.
Will they write code on the fly for each function they choose or will they start storing often used code in various locations in memory, remembering where it is and what it is for so they can simply jump there in the future? If anybody has ported Forth in ITC mode they know exactly what I’m talking about.
No need for returns, just call and jump back to the main routine. Or like in the old days, write the address of the function you choose to call at the end of another calling routine, and jump around from one to another in the order you need to get things done. Write some code at $a843c5c2 that ends with a jump back to PC+1 instruction, jump there and return back to here with no need to involve the stack.
I’m not sure what code or even operating systems will look like in 25 years but I do know they won’t be written by us."